Pith. sign in

Paper Citation Record · LEDGER

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models

As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.26056.

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

pith.paper-citation-record.v1
2607.26056 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:49:02.463223Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 155429c4-b549-4051-bb16-0292a4cd523c · outbound

This paper cites Learning latent dynamics for planning from pixels.Inter- national Conference on Machine Learning, 2019.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Learning latent dynamics for planning from pixels.Inter- national Conference on Machine Learning, 2019

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:58.578113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:58.578113Z digest=sha256:28074a79c89e14d8e71caceaff76d09359a14fa149609b5d0d4a305850412c28

Observation a8ede6cc-6737-4168-ad47-8810c1485a5e · outbound

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

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models TD-MPC2: Scalable, robust world models for continuous control

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:58.647099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:58.647099Z digest=sha256:8b95f705d6ee3f8a9a52ccbf2d17532b8d7c54362c22cb4e4fcf4e47a689e124

Observation 8b22ece9-b60c-4fd7-8cef-2e8b732ea87e · outbound

This paper cites DINO-WM: World models on pre-trained visual features enable zero-shot planning.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models DINO-WM: World models on pre-trained visual features enable zero-shot planning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:58.759504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:58.759504Z digest=sha256:afa5176e7ced141ad95b4420c7c8c090d03d1bb2428f4dbb99d44707b56d6192

Observation 6c8e5026-dcfc-4458-ba0b-3f19ed9a5dc3 · outbound

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

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:58.851597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:58.851597Z digest=sha256:24608341092e4b9725bb2a5a97ed14647747be69d9b4057c01e7b77e971f020a

Observation a9d7753f-bcc9-47e5-811a-1ea534a89b68 · outbound

This paper cites Kroese, Shie Mannor, and Reuven Y.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Kroese, Shie Mannor, and Reuven Y

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:58.923758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:58.923758Z digest=sha256:f07b740d09e2c652163fe16e81fef75be6136cea7680ee4a1e3c89503a16f0bc

Observation 8b57f068-ee76-45da-9bab-7a527b3a5d25 · outbound

This paper cites Rehg, Byron Boots, and Evangelos A.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Rehg, Byron Boots, and Evangelos A

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.006530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.006530Z digest=sha256:17d519344f6dc38cae7ad7a3a00e198d3d1c0c95e98e9fb889f77b0e486b521c

Observation d2c2cc84-2f25-41e0-a941-18cb7a2b0b0d · outbound

This paper cites Mastering Diverse Domains through World Models.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Mastering Diverse Domains through World Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.096221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.096221Z digest=sha256:d47ca90b1b06a22cddc107bcdab447f72cc2321b753c4ea7e46b5d5893e38454

Observation b35769b5-6a06-4fbc-910c-7761b4be5273 · outbound

This paper cites an unresolved cited work.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.188063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.188063Z digest=sha256:a871007d11fe3b2608e849e09c4ef3abe95da9c745f93c5dce3e2b604c775c5f

Observation 9aed2264-5c46-48f2-8109-1c8e101cbf4f · outbound

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

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.290462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.290462Z digest=sha256:04c3bb1bc3c52940a83ff1314a14d28814872db142bf8ee0589273774b142064

Observation 4e8bd6d6-54c6-4185-8c1e-382afd8cd605 · outbound

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

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Causal-JEPA: Learning World Models through Object-Level Latent Masking

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.378704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.378704Z digest=sha256:d4fa3b4426b53488f030663c137d68d03386bd120e90142cc2c3f88f410dd9a6

Observation 6c734855-366f-4d7e-bb48-e2216eef5450 · outbound

This paper cites Fast LeWorldModel.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Fast LeWorldModel

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.436884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.436884Z digest=sha256:d5fa0939fbe778ec4f3bb7aa93786164090cb87170bd47596fdc4abc844db401

Observation 19a763d9-9e0c-4c9a-889f-87fab0022afe · outbound

This paper cites Efros, and Trevor Darrell.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Efros, and Trevor Darrell

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.519843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.519843Z digest=sha256:605c52a2145cd5d0b9003efca1702effce343c6d8965845184ea21d65fe0d7f9

Observation de0fc704-987f-4e08-9dd0-a07eec12e4a5 · outbound

This paper cites Provably filtering exogenous distractors using multistep inverse dynamics.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Provably filtering exogenous distractors using multistep inverse dynamics

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.600305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.600305Z digest=sha256:414a687c9d7a2a22bfc69cdfddaa73915ca4ceccce84451cad978f38580c320f

Observation 24a8ab2a-5374-42af-9290-9deea5acfc47 · outbound

This paper cites Inverse dynamics pretraining learns good representations for multitask imitation.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Inverse dynamics pretraining learns good representations for multitask imitation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.691046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.691046Z digest=sha256:4dd2f9fb991ee99e9eacf004ce3bd55340f602f994cb27727fba8ce63d06cbab

Observation 160cb57e-6cac-4910-9ff9-43080d80af76 · outbound

This paper cites Nair, Pieter Abbeel, Jitendra Malik, and Sergey Levine.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Nair, Pieter Abbeel, Jitendra Malik, and Sergey Levine

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.778080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.778080Z digest=sha256:b53ef5cdf8a04b12230462534b86a257a8544fb9fa688fd6eedddbfb024c7daf

Observation f735e831-436f-4c4a-bc3a-e59c0f3e0a81 · outbound

This paper cites Sensorimotor World Models: Perception for Action via Inverse Dynamics.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Sensorimotor World Models: Perception for Action via Inverse Dynamics

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.861212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.861212Z digest=sha256:ddd7a5ad9e50fec7662e97e9ea607dba17aae99b6dfd5754dff91b09b6aaba6f

Observation c845e808-c91a-4061-b0ca-26f448c2e37a · outbound

This paper cites What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:59.945946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:59.945946Z digest=sha256:e4f37c39b23bfda2e3d28771dfd21eef945d6dc35b201dcfd4a6b5fe38cf7ca9

Observation c44246e3-72aa-4150-9137-819f79b53e22 · outbound

This paper cites Learning to Reach Goals via Iterated Supervised Learning.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Learning to Reach Goals via Iterated Supervised Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:00.033074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.033074Z digest=sha256:ac29a8deadc7a034f4734e46566c2cc2ed0aa66c2c433b0cf137c3e8b62d5e12

Observation 8e9ad6cb-2ef5-401c-b0b8-9b9a38e6d281 · outbound

This paper cites C-Learning: Learning to achieve goals via recursive classification.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models C-Learning: Learning to achieve goals via recursive classification

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:00.123588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.123588Z digest=sha256:d4fa3e47b49629b501d0aee0eb8bc00f597e0c7d81ccd5f8fb632b37f519c0fc

Observation 64be9911-cac0-490e-b3d1-e0d8e29588a9 · outbound

This paper cites Contrastive learning as goal- conditioned reinforcement learning.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Contrastive learning as goal- conditioned reinforcement learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:00.264817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.264817Z digest=sha256:553881bdb4eb6913de07ec0c81dfab91fa9e449b3213b3931e814ac8c2b25df6

Observation ba423836-26ca-497a-a17a-a172abf0d53c · outbound

This paper cites Sutton, Doina Precup, and Satinder Singh.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Sutton, Doina Precup, and Satinder Singh

Reference 21

Resolution
malformed identifier
no resolver link, observed 2026-08-01T00:49:00.365796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.365796Z digest=sha256:aed184a8c03dd0692c59a133a36bcb4e84cc4e8250477168de100f5b7f0013da

Observation 2307faed-f20d-46d1-b828-77f065bea4f8 · outbound

This paper cites Klyubin, Daniel Polani, and Chrystopher L.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Klyubin, Daniel Polani, and Chrystopher L

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:00.467032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.467032Z digest=sha256:53a6500e21f31ca0f1d74397f772e4bfc8581f7cc7c9f4816162d15e09d6cd6d

Observation a5035503-8083-47e1-9459-39950fa32e2b · outbound

This paper cites Diversity is all you need: Learning skills without a reward function.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Diversity is all you need: Learning skills without a reward function

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:00.563847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.563847Z digest=sha256:ec990ea0f8b91a3d3331b4f53e977e470a5d881d62a74171b793be5c8d0d67df

Observation 2b046f7c-fb47-415f-a5ea-fc1f1bde2c27 · outbound

This paper cites Dynamics-aware unsupervised discovery of skills.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Dynamics-aware unsupervised discovery of skills

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:00.651386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.651386Z digest=sha256:18b216eddf5561b596fae4f1e3d7d85cd2fa6cbc8c3ed61494a1c47d7be6e94e

Observation 6e861261-ae47-4e13-80e5-2739c4b9bcb9 · outbound

This paper cites Unsupervised reinforcement learning with contrastive intrinsic control.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Unsupervised reinforcement learning with contrastive intrinsic control

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:00.735528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.735528Z digest=sha256:76646dfd05b94027a4fb5c1dc0c62f9f7d05df64b5dde6ae5829327d6403d20b

Observation e4d5c61c-a666-45be-960f-6cc303b63cd3 · outbound

This paper cites METRA: Scalable unsupervised RL with metric-aware abstraction.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models METRA: Scalable unsupervised RL with metric-aware abstraction

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:00.821355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.821355Z digest=sha256:9d5a36415235767b6de7989b3347ef9d052f13a7058e6ae5cbe31b55644d1143

Observation 4d07b532-b440-4c85-98ef-a084201b5fba · outbound

This paper cites Dimen- sionality reduction by learning an invariant mapping.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Dimen- sionality reduction by learning an invariant mapping

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:00.948177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:00.948177Z digest=sha256:124bf1f445e170d3d6d8928224815384af3f9713f61eb70aa9b89a9b920dbb67

Observation a5c73204-2168-48c4-a970-75eb8d58df89 · outbound

This paper cites FaceNet: A unified embedding for face recognition and clustering.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models FaceNet: A unified embedding for face recognition and clustering

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.009855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.009855Z digest=sha256:375e997a3894fed72a5b5055fa9a8b568787af76b074b70205ca8dd195f13e8c

Observation ecdab1d1-6c69-40c6-a64e-772200120012 · outbound

This paper cites Learning invariant representations for reinforcement learning without recon- struction.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Learning invariant representations for reinforcement learning without recon- struction

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.106259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.106259Z digest=sha256:e000124bb38bf3f1050cf2450c8a6dac9346dfc65db83cc9a308c0847fe81dd6

Observation 86431b7e-f553-458a-ab4e-992ab7c82c35 · outbound

This paper cites Bisimulation makes analogies in goal-conditioned reinforcement learning.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Bisimulation makes analogies in goal-conditioned reinforcement learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.211920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.211920Z digest=sha256:68218424ff57db11cf4c732800943e1a2b9374e99d4d9a2c60fdcbfd57c38e5c

Observation 42a20284-376b-40c3-aefe-0f4df8c421db · outbound

This paper cites Planning from Pixels using Inverse Dynamics Models.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Planning from Pixels using Inverse Dynamics Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.435938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.435938Z digest=sha256:e3d454e58f27793e12360aa44842a5dfa9357623ffdf2f9d2e222c687f8664fe

Observation 2a667d91-5d9b-4d01-b2fe-b8b0cd154c98 · outbound

This paper cites Biased-MPPI: Informing sampling-based model predictive control by fus- ing ancillary controllers.IEEE Robotics and Automation Letters, 9(6):5871–5878, 2024.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Biased-MPPI: Informing sampling-based model predictive control by fus- ing ancillary controllers.IEEE Robotics and Automation Letters, 9(6):5871–5878, 2024

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.569390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.569390Z digest=sha256:71edfc705a544b5b0ca720fb36d8afdbdde5926ff9f37ac2845e1f756c4aa4af

Observation 749ea159-346b-45b1-8341-e72a5d8bfc66 · outbound

This paper cites PRISM: PRior-guided Imagination Sampling in world Models.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models PRISM: PRior-guided Imagination Sampling in world Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.635497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.635497Z digest=sha256:015b295d269bcf7e8e994e2304bc25f5bd80c554c25c353cc21a0d29b6a3e1b8

Observation fb381de0-e1da-4ec7-95e2-b83c53f99526 · outbound

This paper cites Latent Geometry Beyond Search: Amortizing Planning in World Models.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Latent Geometry Beyond Search: Amortizing Planning in World Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.745908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.745908Z digest=sha256:96d85298bd9b1c8132f4a3e5f8b35096dca8b722fe8ad60cfbc9551c13fbe7b6

Observation 5b127739-2443-4ef9-8ea6-12243d128a15 · outbound

This paper cites QuoVLA: Quotient Space for Vision-Language-Action Models.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models QuoVLA: Quotient Space for Vision-Language-Action Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.863043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.863043Z digest=sha256:e29acceb1740a4fb5d3ead7e7d8319ff928bc4090c17426be7131c95ac504246

Observation 3dc1766d-0e78-4ca2-934f-c615e924d758 · outbound

This paper cites FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.978775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.978775Z digest=sha256:076d0c1c09fd851fa5087503c2111352bad0ffcbb62e9ba6a6d503311a840a3c

Observation ac9dc69b-9213-404e-b205-7953cc6800b1 · outbound

This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:02.053139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:02.053139Z digest=sha256:5fffe132f550f76de4b4c41557f8700aa9c103a5db1526499c48bacf86c5a56d

Observation 1fdeceee-41cd-48c1-bac2-6c9539e8293a · outbound

This paper cites DreamGen: Unlocking Generalization in Robot Learning through Video World Models.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:02.167489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:02.167489Z digest=sha256:8a1023c19c2738952df43ed0f5de5ee551561865ce237b81e32e83e61d19539b

Observation 27225d81-287e-4dc0-b9ec-f5a9e3974b62 · outbound

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

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:02.265256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:02.265256Z digest=sha256:b806761f8966ce5cc44247c130e678f4ce60ecf01540637062912c6cf234f6ad

Observation 94b20b3c-3143-4259-8869-5fadcf52af6b · outbound

This paper cites OGBench: Benchmarking offline goal- conditioned reinforcement learning.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models OGBench: Benchmarking offline goal- conditioned reinforcement learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:02.291947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:02.291947Z digest=sha256:6ad2b7b5d6e4c5c7a9145ccf12615e0010ccf499a3eb68268daee840b4eb5442

Observation 241b7daa-3e61-400f-b387-8dfd1a9dc1a0 · outbound

This paper cites CLEAR- LeWM: Calibrated, legality-aware evaluation for LeWM control.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models CLEAR- LeWM: Calibrated, legality-aware evaluation for LeWM control

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:02.353138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:02.353138Z digest=sha256:cccc1533d2fde8445a5905877fbff5fc02d6340f7eb1d8a316712344e9088a32

Observation 46bcf3aa-b8b7-455e-810e-90ee4991918e · outbound

This paper cites an unresolved cited work.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-01T00:49:01.304828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:01.304828Z digest=sha256:c7800313fdf922ddd959834d72f027ff05419ba80a5a6714c715d71fb2053277

Observation 9f7e484d-df51-4b16-a7a2-b1f3a49ce892 · outbound

This paper cites Shared fraction.

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Shared fraction

Reference 2026

Resolution
malformed identifier
no resolver link, observed 2026-08-01T00:49:02.463223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:49:02.463223Z digest=sha256:ee487b75fef1730872e2596b962ee0582f86e7cc93b087780a81097d0a66848f

Pith citing papers

No inbound Pith citation observations are available.