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Paper Citation Record · LEDGER

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models

As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 3 inbound Pith citation observations for arXiv:2607.13612.

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

pith.paper-citation-record.v1
2607.13612 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:49:20.479775Z

measured 23 of 23 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 2026-08-03T01:44:56.967268Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c73efe95-515d-4933-86b9-41d76bea0659 · outbound

This paper cites horizon tax.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models horizon tax

Reference 1

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source=pdf_text observed=2026-08-02T04:49:20.231104Z digest=sha256:9653681b88b8771ebbd918b88bba6acc91505d73154c1e0afe5bf4c3ebcb8e02

Observation 1cd0ae2a-4005-4d43-aae4-74cad7a3080e · outbound

This paper cites an unresolved cited work.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-02T04:49:20.295772Z digest=sha256:97f2a34d14f9c95a5f3e3ce1574b3f23831ebd3f8d53756c224d74661c6102b5

Observation 20ed04de-fd36-4ecb-badc-af735fcdb533 · outbound

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

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 3

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source=pdf_text observed=2026-08-02T04:49:19.324767Z digest=sha256:4098cb187db01a17ce6d977b832278094981485ac07563e3202f581d469489e9

Observation 641574a8-996b-4a06-9ea9-37a542f01e2e · outbound

This paper cites Gaussian embeddings: How JEPAs secretly learn your data density.arXiv preprint arXiv:2510.05949,.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models Gaussian embeddings: How JEPAs secretly learn your data density.arXiv preprint arXiv:2510.05949,

Reference 4

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no resolver link, observed 2026-08-02T04:49:19.397484Z

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source=pdf_text observed=2026-08-02T04:49:19.397484Z digest=sha256:86c199440b4c888e0df5f33e4177c2c7f96acebe350e108bc53808e86075f5ae

Observation 5c80f61f-79b9-4265-928b-d949e47066a3 · outbound

This paper cites Var-JEPA: A variational formulation of the joint-embedding predictive architecture – bridging predictive and generative self-supervised learning.arXiv preprint arXiv:2603.20111,.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models Var-JEPA: A variational formulation of the joint-embedding predictive architecture – bridging predictive and generative self-supervised learning.arXiv preprint arXiv:2603.20111,

Reference 6

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source=pdf_text observed=2026-08-02T04:49:19.574671Z digest=sha256:5cdf2b8e0e69213bacbf2a2564c453fb19ab936c258203d5ec4d3878ea8ac22e

Observation 4cbead87-8bb3-41a7-a33f-9af558c48ae3 · outbound

This paper cites Stable Deep Reinforcement Learning via Isotropic Gaussian Representations.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models Stable Deep Reinforcement Learning via Isotropic Gaussian Representations

Reference 11

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source=pdf_text observed=2026-08-02T04:49:19.953195Z digest=sha256:fd733d5266d56172b46bfc3c601cffc8424a4459304fc91c012008b4090f00bc

Observation 73b6148d-79eb-4570-a931-bfc880a8d475 · outbound

This paper cites an unresolved cited work.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-02T04:49:20.038254Z digest=sha256:d6d19b05d49c5621970de453e87341847945e37e805c2ddf0e74d83bfd0b4a8d

Observation 2ab88c95-6dbf-4747-bf80-60321ccfb3b6 · outbound

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

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?

Reference 13

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source=pdf_text observed=2026-08-02T04:49:20.087180Z digest=sha256:c03331ab70f47ca3c9cc0adf5f62330ccb307db8465a9b27a71afd6221c886f6

Observation 0e3fe69d-1ee1-4893-bea5-b3294ee014d3 · outbound

This paper cites The lean mathematical library.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models The lean mathematical library

Reference 14

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source=pdf_text observed=2026-08-02T04:49:20.130992Z digest=sha256:bd4b304164af100c6f8d9259c32634380cbb2b87f0e1f5dd90f01b0581b82972

Observation 975ff6ff-8ddb-41b7-925b-d00208c49ea3 · outbound

This paper cites exact free energy.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models exact free energy

Reference 18

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source=pdf_text observed=2026-08-02T04:49:20.357465Z digest=sha256:9d9c43421921b42168b89943a6f19323f204851bb46c12b2e51d34b3a28c719e

Observation c51dde29-620f-40cb-b69a-f333ff97c5a9 · outbound

This paper cites an unresolved cited work.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-02T04:49:20.427425Z digest=sha256:250987b145d655c5563649000e3f48ffa73baecc3471f893d2118443ad8e8667

Observation ddcb9af0-8411-41c7-be27-ce7632f6d44c · outbound

This paper cites an unresolved cited work.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-02T04:49:20.479775Z digest=sha256:651f181592c6f736b289bac36ee7aa18104778ce8d259806de0978f4f689aeb0

Observation 24fda7fd-be2b-418a-baf6-758134a50951 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models Representation Learning with Contrastive Predictive Coding

Reference 2000

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source=pdf_text observed=2026-08-02T04:49:20.185734Z digest=sha256:912b8b423eb9e2b5b9b2c3384071e6fcffa788b0f4641c66cbb712d2385a7617

Observation c11de667-f0c0-4929-91b8-855ae9d681c3 · outbound

This paper cites PWM: Policy Learning with Multi-Task World Models.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models PWM: Policy Learning with Multi-Task World Models

Reference 2010

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source=pdf_text observed=2026-08-02T04:49:19.477323Z digest=sha256:32f9d32c6ed79a97e7a147ffb1967a3cf0d553de82cb40d8525248097c8fd6aa

Observation 7c40128e-59de-4ee2-be8b-4d67c8418d62 · outbound

This paper cites VJEPA: Variational joint embedding predictive architectures as probabilistic world models.arXiv preprint arXiv:2601.14354,.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models VJEPA: Variational joint embedding predictive architectures as probabilistic world models.arXiv preprint arXiv:2601.14354,

Reference 2012

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source=pdf_text observed=2026-08-02T04:49:19.656630Z digest=sha256:7e6eee0e7183e1f25fc2b9de234c5b91158266723621686dc116783f430a7473

Observation 762833a7-9d33-4156-b7a6-5a206f8aee55 · outbound

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

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2017

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source=pdf_text observed=2026-08-02T04:49:19.187666Z digest=sha256:ef98896d64fb99d660becfa632972b7ecf4512110a5cee1fc40a574d40b6ecb2

Observation 100d5535-07c4-47d3-8b23-3215617aead8 · outbound

This paper cites The Free Energy Principle for Perception and Action: A Deep Learning Perspective.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models The Free Energy Principle for Perception and Action: A Deep Learning Perspective

Reference 2021

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source=pdf_text observed=2026-08-02T04:49:19.888495Z digest=sha256:647a537282b92c4ae956d72d0033914dd05c073e466e4c0cc64020cf54d29db7

Observation cad138b3-e88b-44a9-b2aa-ea83c3fb0783 · outbound

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

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 2022

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source=pdf_text observed=2026-08-02T04:49:19.833770Z digest=sha256:cd8ced488e959164d586e797e65d8e294f9defd92554234fb8db3830befb924c

Observation 5c6ed15a-bde0-4392-919c-52ea94d10863 · outbound

This paper cites TD- JEPA: Latent-predictive representations for zero-shot reinforcement learning.arXiv preprint arXiv:2510.00739,.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models TD- JEPA: Latent-predictive representations for zero-shot reinforcement learning.arXiv preprint arXiv:2510.00739,

Reference 2025

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source=pdf_text observed=2026-08-02T04:49:19.243669Z digest=sha256:db3b563bc7c3ebd09a8bf16b7862b62f80d57c099d35c099c06aff39f9ed50c1

Observation 526c40f4-1bc1-4617-8e91-85639f6f1d14 · outbound

This paper cites When Does LeJEPA Learn a World Model?.

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models When Does LeJEPA Learn a World Model?

Reference 2026

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source=pdf_text observed=2026-08-02T04:49:19.755260Z digest=sha256:0467d75057fbae462b0821e62a6903bf604c9faedacce8b25ed184880c64ec4b

Pith citing papers

Observation 0182a819-e1db-42fa-b7bc-fb7ebd5fbee3 · inbound

What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations cites this paper.

What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models

Reference 1

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source=pdf_text observed=2026-07-30T13:44:14.852764Z digest=sha256:023264a30d5c7f3e1516415e9f17e11b370573279cd909c72e639da3a99feaaa

Observation 85e28256-f193-4bb9-8054-a2bacf1bb0bb · inbound

What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations cites this paper.

What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models

Reference 1

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source=pdf_text observed=2026-08-01T10:17:34.847258Z digest=sha256:9bbdfe061636c9e88a18c51fcd596385438840e12322732ed99df28803a109f0

Observation 898e5394-f0a7-4168-ba13-9bc25cfc5d31 · inbound

What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations cites this paper.

What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models

Reference 1

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source=pdf_text observed=2026-08-03T01:44:56.967268Z digest=sha256:8377ceacdc49c84daaf77fd04c9ca4fe9d3fec7213cd9d634179332856a166c5