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Paper Citation Record · LEDGER

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 5 inbound Pith citation observations for arXiv:2506.00867.

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

pith.paper-citation-record.v1
2506.00867 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:35.761451Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:56:04.190024Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.092063Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 083a4688-3356-409b-8c98-498777d1fc5c · outbound

This paper cites Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:34.214291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:34.214291Z digest=sha256:24d3438d528c23ce1e10b1504e3a11b46367d473a35d4ddb025141c2f09808d1

Observation 677b44a5-b55c-447c-971f-c3719ec9ef7d · outbound

This paper cites Inference-Time Policy Steering through Human Interactions.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Inference-Time Policy Steering through Human Interactions

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:34.669086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:34.669086Z digest=sha256:3941952d78d099398e0b6c063aaba4d201acd4cb9da46086452816e32cbe470b

Observation b5c602a7-976a-4c93-83e3-0bd66d228d24 · outbound

This paper cites Monte carlo tree diffusion for system 2 planning.arXiv preprint arXiv:2502.07202,.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Monte carlo tree diffusion for system 2 planning.arXiv preprint arXiv:2502.07202,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:34.895135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:34.895135Z digest=sha256:c7f06f389bf6ab42d67b84745c564c76215a0a679a1495d73e79f4bc7edc34cb

Observation d862ae3f-9b2f-45c5-9ed5-ab06d9dfa361 · outbound

This paper cites an unresolved cited work.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:03:38.171601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:03:35.074049Z digest=sha256:ba8524963f3f099a7bf2a6ba12d1fef48acab7dcf2d9e4a514a3b21f94e1fb76

Observation 29d28b36-1408-4d7d-b22b-847fc168f476 · outbound

This paper cites an unresolved cited work.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:03:37.502457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:03:35.340387Z digest=sha256:1dad0db7b429d0721c13acc84f98931e170f585dfee498bcb32dc6a45b2c8fa2

Observation c5e19144-985b-4ce2-98e3-00ef4f7f385a · outbound

This paper cites Although these methods provide asymptotic exactness, their practical efficiency under limited sampling budgets remains a significant challenge.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Although these methods provide asymptotic exactness, their practical efficiency under limited sampling budgets remains a significant challenge

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:03:37.184010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:03:35.501334Z digest=sha256:45e51b18703b924ca48943f94813446f5ad6710b4faa23d95cfea774eea1016d

Observation a9c6f17a-fa73-4c9b-8708-2c7ffea30614 · outbound

This paper cites AntMaze-* State spaceS R29 Action spaceA R8 Episode length 1000 E.2.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning AntMaze-* State spaceS R29 Action spaceA R8 Episode length 1000 E.2

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:03:36.872843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:03:35.540234Z digest=sha256:d5e89b720f32877cb630908836aeaa316f18acb0c4df2142bb1c67b104afc1af

Observation b39f4f7a-4e4f-47da-b05f-2faa623345f3 · outbound

This paper cites an unresolved cited work.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:03:36.253607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:03:35.761451Z digest=sha256:fab0f340a4d78b033ffd1133cbb36891b0329f93f94f77f1191bee5ba6c6e899

Observation 8562eae4-ca4c-4868-b9f3-2786245ac8e8 · outbound

This paper cites an unresolved cited work.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:03:36.530453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:03:35.611619Z digest=sha256:53dafcd0a2fbe885387c94a5224749b675e3400ceade049241ced7a638d2b459

Observation 1f495133-84fb-403f-bc55-32f994bce877 · outbound

This paper cites DISCO: Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning DISCO: Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:34.029426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:34.029426Z digest=sha256:b5ddcb3b8272968c9cada63df1a112fcba2d8d3b4fbd51c4d19229433957aa5c

Observation 93ab3787-42d9-4cac-9cd0-f169ad5d189e · outbound

This paper cites Generative Trajectory Stitching through Diffusion Composition.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Generative Trajectory Stitching through Diffusion Composition

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:34.367290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:34.367290Z digest=sha256:1c7a5c8a0cefb63058e9a23c8e71d6e6269680c95d969b94e96701875dae2b5b

Observation c55607c8-b4c9-4864-b96a-8bf1de9f943d · outbound

This paper cites CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:33.814560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:33.814560Z digest=sha256:0cc7fc852420452b66d6ce00f8ca88ee532434674c0c9ca08f3d4ecff78d272b

Observation 25590576-eb97-4b8a-9081-eefa6ef98889 · outbound

This paper cites Despite their effectiveness, these methods tend to excessively focus on reward optimization, often compromising the diversity and fidelity of generated outputs (Clark et al., 2024).

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Despite their effectiveness, these methods tend to excessively focus on reward optimization, often compromising the diversity and fidelity of generated outputs (Clark et al., 2024)

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:03:37.849816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:03:35.187639Z digest=sha256:b5ae1b5a3ecfa19f0bc2cbfd6bf3f94831b3501f05cd32e21e8d91090d7ec00d

Observation 2d0fd615-44d4-465b-8a6e-b7984a705275 · outbound

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

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:33.914152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:33.914152Z digest=sha256:d6c90eb63047a313de7efc433c1cddd044b2bd2cae3b0f7b434a09a381000c43

Observation a11844ff-4d5b-4363-9403-43d511a4badf · outbound

This paper cites Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:34.513509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:34.513509Z digest=sha256:698174cacbbe3a57e0d1dbdfe04eaa9cd5e8fa946898f1adc93f1c3b037f4894

Pith citing papers

Observation 9544c7fc-ddf7-4628-96f5-28b0d6f1a2b7 · inbound

Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution cites this paper.

Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:00:36.985916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T19:10:14.360020Z digest=sha256:fc78b4c1cb17186c22ea25b2f1bbff9763810e29584b00ab641fcb7fc37588d5

Observation aec7392b-5549-421d-a974-efd2d1d6b034 · inbound

Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution cites this paper.

Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:53:51.585403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T23:50:59.609184Z digest=sha256:048a27d1d5c6df41c665231221f9182854133c51e822e581ade7079a6d12e65c

Observation 1ce7559f-22be-4db7-9e24-cbc8bf907ea8 · inbound

Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution cites this paper.

Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:33:03.921878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T05:31:33.555062Z digest=sha256:b1b9b8129a44a227ae5073f617f8f3f5696707208f86868623e1fa583bae2a9d

Observation b173b2ab-73dd-4302-aae2-42ffbd003f1d · inbound

AR Forcing: Towards Long-Horizon Robot Navigation World Model cites this paper.

AR Forcing: Towards Long-Horizon Robot Navigation World Model Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:56:10.941918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T21:56:04.190024Z digest=sha256:20ff2676c7871fcf251636f7f14cc7ae996a36e2d35ba87b6962a097f102642b

Observation 310b7770-7eb6-4017-aa2c-f28169de255a · inbound

Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution cites this paper.

Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:39:42.093489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T11:13:59.473412Z digest=sha256:d660b327918bf104969e6bb49da400a3d7d5121699d1712f84f2d734de95b4d5