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Paper Citation Record · LEDGER

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning

As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2607.17973.

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

pith.paper-citation-record.v1
2607.17973 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:32:51.560429Z

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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T17:53:36.937914Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c60e012-043e-439a-a82f-09fde09bfe44 · outbound

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

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning PRISM: PRior-guided Imagination Sampling in world Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:48.778474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:48.778474Z digest=sha256:227ff55189b6af3c0e357cdae86ae5d13beabc955b7908ac2a0907a512ed90fe

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

This paper cites Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning.

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

Resolution
unresolved
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 0b90eeb9-7710-4c99-bd74-aab22fef1e8d · outbound

This paper cites Hierarchical Planning with Latent World Models.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Hierarchical Planning with Latent World Models

Reference 3

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unresolved
no resolver link, observed 2026-08-01T16:32:49.135680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:49.135680Z digest=sha256:48ee42c8ea852190e036d3f484733d9580ea94b0274b157bf24d1b3c00794664

Observation c777d2d8-42c9-4b58-ab83-50528875116e · outbound

This paper cites FF-JEPA: Long-Horizon Planning in World Models with Latent Planners.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning FF-JEPA: Long-Horizon Planning in World Models with Latent Planners

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:49.305756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:49.305756Z digest=sha256:2418107824f01e899716c04ea4c85e2a853b58c2a622eb497771a43fe8c9257d

Observation 5aee6b86-01dd-4242-9503-fc02e3ac216b · outbound

This paper cites NeurIPS , year=.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning NeurIPS , year=

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:49.559737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:49.559737Z digest=sha256:df9e117b3d9012628ec6b84c1446a4d1ce4d990181e1357a160a877224fee7e9

Observation a88dba06-4011-48d0-b856-ccbba9f577a4 · outbound

This paper cites an unresolved cited work.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:49.742775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:49.742775Z digest=sha256:e7c1721b0efdf4c9348d0874212a65b73f52044615db7c418085b5a7cfcebcf8

Observation ac61e85c-c65c-432b-81a1-6ae78a3488da · outbound

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

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:49.910730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:49.910730Z digest=sha256:fdb195828a88fb904a1810b5b8bfa120802ca931a8582d8eeb75150e512a51ac

Observation a3290b40-ab34-4ef3-a493-f1d9ec556d34 · outbound

This paper cites CVPR , year =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning CVPR , year =

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:50.091001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:50.091001Z digest=sha256:1d2ef89dee677a3a648c04c3afaf898d21918ee47a3897f9aaf45fb4b8bcd1ea

Observation c8ce9c17-a0b5-40e6-a3b2-b15f6c7436fd · outbound

This paper cites Mastering Diverse Domains through World Models.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Mastering Diverse Domains through World Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:50.268369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:50.268369Z digest=sha256:df153b5fa0031c0435ee756b146b6a409fcc9bdd387c1a8f37497c54d2b24a4f

Observation 5293ff2c-33b6-4b56-8710-ecb145b1fb7a · outbound

This paper cites an unresolved cited work.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:50.451998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:50.451998Z digest=sha256:08b7e6229bfd90ef99c38d9478577e3e84be106b543ffd098089a2379f458c25

Observation 95032117-11c0-452e-afc3-ea03330ee3b8 · outbound

This paper cites RSS , year =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning RSS , year =

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:50.549847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:50.549847Z digest=sha256:d8e63cafe9124263cef6c288c143102f701f28d43a1b1335127a3131b8197dfc

Observation 8d34d801-7ae7-46d5-a4bf-4b64a263e9c4 · outbound

This paper cites Proceedings of the 2020 Conference on Robot Learning , series =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Proceedings of the 2020 Conference on Robot Learning , series =

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:50.652148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:50.652148Z digest=sha256:59840799bfff82e6ee3e91b000082bd274ffa3b5548da06a5e7fbeeff4434ab8

Observation 818a8ee2-ba25-4792-a090-3f32080cb957 · outbound

This paper cites NeurIPS , year =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning NeurIPS , year =

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:50.757081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:50.757081Z digest=sha256:45b91e70f60b88c4d416c46085f078481e6a9d55be4e538f616203babf258ae7

Observation 1c42a2f8-ea08-4a29-a1dd-b7282e6f3ad7 · outbound

This paper cites Artificial intelligence , volume=.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Artificial intelligence , volume=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:50.861415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:50.861415Z digest=sha256:c0c7acd956aabc742aea4b9a9747d18d2ab7fcd7f83acc944efed90fbacebca3

Observation bc80bde6-b809-4321-b127-6c010a181cdc · outbound

This paper cites IJCAI , year =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning IJCAI , year =

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:50.946800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:50.946800Z digest=sha256:9e8c6003743e49525b1c689d7026eb4c2ab2dd2b435d009ea3c9b8c75a3244d7

Observation 85f79710-c6c8-4a1d-8d01-b188ea90c5f0 · outbound

This paper cites CoRL , year =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning CoRL , year =

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:51.068248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:51.068248Z digest=sha256:91d6d11e2936ad0cf61ba05323663f2d38843303b31581fc9ee2426560964481

Observation bd148fe4-3698-4a78-b007-e1b62c108cf0 · outbound

This paper cites ICML , volume =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning ICML , volume =

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:51.187607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:51.187607Z digest=sha256:13fa52bcecd52ba21544a03a91926644e353ade102b2c0a5076d70472b119f79

Observation 2c0f1968-0091-4573-aa19-c95d40167979 · outbound

This paper cites 2603.25981 , archivePrefix =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning 2603.25981 , archivePrefix =

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:51.291315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:51.291315Z digest=sha256:980e4a1e5c612d6c39c25a9cab756e80e86f6cf679acadff3562b7c9b8534b33

Observation 369b52f2-dc95-4838-850a-efdd07dca2cf · outbound

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

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:51.356903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:51.356903Z digest=sha256:620c6dcc3718c32a67bfbb07dda5f785a0dfe1ceae778dac3dcf619579bad044

Observation 0b45d7f6-4088-47e0-b322-6f15265b7c52 · outbound

This paper cites an unresolved cited work.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:51.421819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:51.421819Z digest=sha256:b3a3aec96a9affcaa33fe8f5ccbe458fd8143b209186b5d50d925b4f183bd5f2

Observation 5548084b-0bac-44b0-b492-666f22bd576c · outbound

This paper cites Methodology and Computing in Applied Probability , volume =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Methodology and Computing in Applied Probability , volume =

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:51.485951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:51.485951Z digest=sha256:7bd02391c1ac707ad67c0cc0737759a85f823ad2939891a3898135c070f7cab5

Observation 15985cb8-c534-4a65-af2b-7e363f329a1d · outbound

This paper cites Journal of Guidance, Control, and Dynamics , volume =.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Journal of Guidance, Control, and Dynamics , volume =

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T16:32:51.560429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:51.560429Z digest=sha256:65d3a28fbd190b2e5dff605d54bf49aeeea99d5c408d7020437c1378d9e52bd9

Pith citing papers

Observation fbdef916-b3c5-457a-82b3-49cc6fd30ddd · 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 SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-07-30T17:53:36.937914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T17:53:36.937914Z digest=sha256:74cf68a4e1749b6ce7b341dc986135781a2bfcd9bb2d1ca8a3ca27ebbf22979f