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Paper Citation Record · LEDGER

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

As of 9 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 2026-08-08T06:32:00.761636+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=sha256:2582ee4d748d41ab4b5c238a46f7b2f743687890e494a1cae42b87464cd80492

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:e0874b886ce8aafc525236c5bc5e5cae8be6039d278d59f751be17fc3702718f

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:b38d5c3c8b0bc1e2243edfc9dcaa8b728cc56fd998cc438b17182d4d7098d683

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:35.074049Z digest=sha256:0b060848d77956150a20f438ffd2730468a7ce836d96bdcdc0f24b4fa3007f88

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:35.340387Z digest=sha256:a8e13a929ce2d532a2ca654ebc93d2e2c7ed7877c689c3fd6cc3a7a22d42b4ca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:35.501334Z digest=sha256:6523b72dd67197e31bc042e5029a513833ed6157abbdfa45000ac7f187e9ea8e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:35.540234Z digest=sha256:79708beb0288db2dc6e7aaa61f2464ca74474fe8fb5ca742ae30a1f3847e77b9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:35.761451Z digest=sha256:b6a042ab3f6cc3cbebcc504cb6a33b5bfc618f4d0d33afd8e8027478a7c5b2ea

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:35.611619Z digest=sha256:961f92f4064daefbb6ae0c96224e8bb62d911a8fa458b2d49103424137c856d8

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:d11a575ea9bfd487c843d79a6687da68ae006e6ea1dcfe562074e94c9427a712

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=sha256:820ee8e7faf39e382f601740a0f39db0046581d85b48a560ae5d2f1d9db55cc5

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:e82aa2f37c502ee0884238177422d8ba7158ae84e161a647cb3f21e8c45d17b4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:35.187639Z digest=sha256:37d1ecc710382e30c92fdd929e6962c8953d92b0ce53cde01b0d9fc4bbf6094f

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:ce3b632df7e432a5bcdc4c2f68898e3474994639b786d482df9fcdd5cf436ef8

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:c53d5a383fa137bf383224d2c825be15bf815008d8d67f392fef4fe00c4a753c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T19:10:14.360020Z digest=sha256:e804b08d54b2dacb534b0d7bf2b44a6fbf2bdf4606579eecbbc4e54496644b1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T23:50:59.609184Z digest=sha256:a433254cfac1af0879406629294f9103da9f96437694c9c4d76f5c1880d9780f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T05:31:33.555062Z digest=sha256:78bbd620931c131559c67b463e29765be8595c9bf901e64e53bb2582b3101658

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T21:56:04.190024Z digest=sha256:1cfa7a0ea89eb0fc666bd477e40e1faa4f9c0856c6bbfe5412e688487bb8a3cd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T11:13:59.473412Z digest=sha256:80478be4cdb36b44485848fcfc564142f93d4914d90c9cb0dec72861ae5a7083