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Paper Citation Record · LEDGER

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 6 inbound Pith citation observations for arXiv:2412.17993.

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

pith.paper-citation-record.v1
2412.17993 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:12:46.302131Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:17.296657Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:42:49.469683Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 920c1e81-28c3-451d-89df-3d3b99f7fb34 · outbound

This paper cites Multi-agent pathfinding: Definitions, variants, and benchmarks.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Multi-agent pathfinding: Definitions, variants, and benchmarks

Reference 1

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raw_fallback, observed 2026-08-11T05:12:46.791874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T05:12:46.219762Z digest=sha256:ac4c60597dba892af4a60161d20d3aeb8e2aec0ae904a7250c85ccaf48d0f2dd

Observation e782c7a3-1172-4510-8a61-ad7ee29dda5a · outbound

This paper cites Lifelong multi-agent path finding in large-scale warehouses.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Lifelong multi-agent path finding in large-scale warehouses

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T05:12:46.779733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T05:12:46.224925Z digest=sha256:a23290eba7ccd5a0988d435fe48b00ba085800bb7673638c552dae1de268a84d

Observation 7f3c8062-5ff6-46e1-8434-8e8171f0a3ce · outbound

This paper cites warehouseman's problem.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models warehouseman's problem

Reference 3

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raw_fallback, observed 2026-08-11T05:12:46.767933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T05:12:46.229161Z digest=sha256:d3bb930fd98465a8b1a582a5193466b4b8a590f53ab08740701ef88272c6b51e

Observation df1953d4-4dc3-4025-9f8d-44bf128921e9 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Generative modeling by estimating gradients of the data distribution

Reference 4

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no resolver link, observed 2026-08-11T05:12:46.232862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.232862Z digest=sha256:d0469966be10c54db302ab70f5c104cd01d2d64354bfc16e0c8c8937d4b080ac

Observation f17def52-2474-4c20-8c89-ed79aba7dca6 · outbound

This paper cites Denoising diffusion probabilistic models.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Denoising diffusion probabilistic models

Reference 5

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source=arxiv_source observed=2026-08-11T05:12:46.236989Z digest=sha256:cf9653c99aeb46dc26c129f2d4b40c15455d2c75caa88e224a37298e58ece056

Observation 3ce4b3b3-dd3b-430a-a8da-2af9c5456ff6 · outbound

This paper cites Motion planning diffusion: Learning and planning of robot motions with diffusion models.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Motion planning diffusion: Learning and planning of robot motions with diffusion models

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-11T05:12:46.742867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T05:12:46.240840Z digest=sha256:aa8d05aab698f6ec723f0f31c8963de3ecfa3d528fdb9cfec337cabfdf5933d8

Observation 1df36624-0641-4a57-afc2-923ff9adbdef · outbound

This paper cites Constrained synthesis with projected diffusion models.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Constrained synthesis with projected diffusion models

Reference 7

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no resolver link, observed 2026-08-11T05:12:46.245302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.245302Z digest=sha256:ece0729fa279540a52ceb6ef474663a71c250ba54006cfc8865a8ea3377697db

Observation 07fd95b0-869f-4b91-a345-e0de132b6d9f · outbound

This paper cites Improved heuristics for multi-agent path finding with conflict-based search.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Improved heuristics for multi-agent path finding with conflict-based search

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-11T05:12:46.725483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T05:12:46.248718Z digest=sha256:5800a41363fd04ac60e322e2cfc5adcf7b5ba3867df1a252896c10fdc3f9a9a4

Observation f1dcf214-b12d-4ee7-832f-4e0f54a5016b · outbound

This paper cites Eecbs: A bounded-suboptimal search for multi-agent path finding.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Eecbs: A bounded-suboptimal search for multi-agent path finding

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-11T05:12:46.713418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T05:12:46.252278Z digest=sha256:b9f5472a6b6f9cc6f93c41264ad60ce73205edab8157e5e2bedfbe93fa7a9dd1

Observation 3990c990-bd74-4bdd-8eb9-c542c4faaa3f · outbound

This paper cites Priority inheritance with backtracking for iterative multi-agent path finding.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Priority inheritance with backtracking for iterative multi-agent path finding

Reference 10

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raw_fallback, observed 2026-08-11T05:12:46.701613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T05:12:46.255677Z digest=sha256:9953bdb852ebc211ad9609dfaf3bcc0ca1871553f62a2f635b8f2f4a9a44d1c2

Observation 020d3bc6-55cb-419f-861d-959be2339a0f · outbound

This paper cites Multi-Robot Motion Planning with Diffusion Models.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Multi-Robot Motion Planning with Diffusion Models

Reference 11

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no resolver link, observed 2026-08-11T05:12:46.259182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.259182Z digest=sha256:98929d9a172e6d310d2eee3d64332eb72bb9a0b52d420b6ae8d1a14122201a0f

Observation 51f3646e-b3e9-4719-9f86-29f0785b9bd7 · outbound

This paper cites Probabilistic roadmaps for path planning in high-dimensional configuration spaces.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Probabilistic roadmaps for path planning in high-dimensional configuration spaces

Reference 12

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no resolver link, observed 2026-08-11T05:12:46.263347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.263347Z digest=sha256:fc287751dfcaab261458d0296f628c1e608972f4262bd0e6702bf434fcc47c69

Observation 9d9283a0-0609-4e29-a5ad-9a52f55538c5 · outbound

This paper cites Rapidly-exploring random trees: A new tool for path planning.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Rapidly-exploring random trees: A new tool for path planning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:12:46.682678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T05:12:46.266866Z digest=sha256:c07b59dfbefa0941fede1dafb4a3359c5c140b24f723b361985def192c39aabe

Observation 3ffa2f30-a81b-48f9-83b6-b58e3468a0f6 · outbound

This paper cites Schoellig, and Raffaello D'Andrea.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Schoellig, and Raffaello D'Andrea

Reference 14

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no resolver link, observed 2026-08-11T05:12:46.270230Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.270230Z digest=sha256:8356686748d158f80dca686ef4c1990352990c97661e36cc104ae99764a8937a

Observation 9c401c3b-c1eb-4fc7-9354-8194768f0f2d · outbound

This paper cites an unresolved cited work.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-11T05:12:46.274073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.274073Z digest=sha256:33b0b7053f2c41f84ff5581c52a827c1cd381e20b492795b271b4fc0a223b3f1

Observation c6173f51-e31c-472b-94f8-2ffe89a27bd5 · outbound

This paper cites Multi-agent cooperative motion planning based on alternating direction method of multipliers.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Multi-agent cooperative motion planning based on alternating direction method of multipliers

Reference 16

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no resolver link, observed 2026-08-11T05:12:46.277645Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.277645Z digest=sha256:68b515bd5865fb6496c121069104178d67225ab5747f779003c2310e56f257ca

Observation 39ac7ff8-8bec-4366-b5cb-12e36567ed6b · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Planning with Diffusion for Flexible Behavior Synthesis

Reference 17

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no resolver link, observed 2026-08-11T05:12:46.280949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.280949Z digest=sha256:ac893e6d5c27c91f09ac5d045dd962fd9fea3efcf9afb3309cd76644d1a2fe1d

Observation f4407c1d-5091-49bc-ba61-be6a49f856fc · outbound

This paper cites CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces

Reference 18

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no resolver link, observed 2026-08-11T05:12:46.284952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.284952Z digest=sha256:65cb04c4b1c0d0e7e85d1b2d91e95feb6dcf779b10d377d3bef20bea2f523453

Observation d811efbf-d0f0-47e3-8404-2761a9af3c47 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Diffusion models: A comprehensive survey of methods and applications

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.288867Z digest=sha256:06bb1713d81685c8612d3a6e86bc1019cfe85cd4a8bee6736d33da62e3264318

Observation 80019551-933e-4fbd-87bc-96a5a08bc5ca · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 20

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unresolved
no resolver link, observed 2026-08-11T05:12:46.293245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.293245Z digest=sha256:0918bb8f848706e02279258fdbdb33cb033ee9ac53f890ca0296a3f12dcb824f

Observation 29830196-02f7-4a9f-babf-c51d5fab7d65 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 21

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no resolver link, observed 2026-08-11T05:12:46.298125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:12:46.298125Z digest=sha256:5921cb8992000ec3a9030fd6367d0ada1dee4c1eb9f1bb3dba5c078936ff437f

Observation d5e393d8-80f6-48db-b9f3-b5bcdd57ecf6 · outbound

This paper cites Fast approximations for job shop scheduling: A lagrangian dual deep learning method.

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models Fast approximations for job shop scheduling: A lagrangian dual deep learning method

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-11T05:12:46.657785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T05:12:46.302131Z digest=sha256:84a5b897416af02d63fed4be3e269dc5853d59f26249dfa8b397b552cfdaffdb

Pith citing papers

Observation 951789c2-afc1-435d-bc43-18f6214094f2 · inbound

Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding cites this paper.

Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models

Reference 2023

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no resolver link, observed 2026-08-07T14:20:17.296657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:17.296657Z digest=sha256:6417e85161948e6a7428442f1a70ecf74d2fba644790cc67673cb613a6c0d7c7

Observation d5e52879-056b-456f-ae69-22390aa81042 · inbound

Multi-robot Path Planning and Scheduling via Model Predictive Optimal Transport (MPC-OT) cites this paper.

Multi-robot Path Planning and Scheduling via Model Predictive Optimal Transport (MPC-OT) Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models

Reference 14

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no resolver link, observed 2026-08-05T14:38:31.985660Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:38:31.985660Z digest=sha256:eabb40fdcb5b1eda3489eacce872d934e00d983fbbaf6d89f137de11b888ad34

Observation eb061e94-b8a4-46bd-9dd9-d51a2d45f377 · inbound

Train-Small Deploy-Large: Leveraging Diffusion-Based Multi-Robot Planning cites this paper.

Train-Small Deploy-Large: Leveraging Diffusion-Based Multi-Robot Planning Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models

Reference 9

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arxiv_id, observed 2026-05-11T00:00:54.260047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T18:45:04.853816Z digest=sha256:43cb7c01edcb6319d18fb4411608d08d434f1a76b36b1705233c2d4923b7912b

Observation d9c68919-4771-4943-9c3a-799f9c26a22a · inbound

Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schr\"odinger Bridges cites this paper.

Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schr\"odinger Bridges Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models

Reference 7

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arxiv_id, observed 2026-05-12T03:56:21.847682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T03:54:39.066558Z digest=sha256:cae7853581d8712052b8ffe7aa582d4492f3a1d78981b30474b4e76f22c5bebc

Observation 524326c5-3dc3-440a-95dc-b7a932eb0796 · inbound

Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints cites this paper.

Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models

Reference 14

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verified exact
arxiv_id, observed 2026-06-28T23:42:49.471011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T23:39:16.848908Z digest=sha256:ebd8dd1f7b241942f52ac1a6d9a30568b2e21e37a925a23fa6f9eadcdb99a47b

Observation 92508bfd-ae7a-4e5a-93cf-395cb4e1c1d8 · inbound

Motion Planning with Model-Based Diffusion via Constraint Optimization and Adaptive Scheduling cites this paper.

Motion Planning with Model-Based Diffusion via Constraint Optimization and Adaptive Scheduling Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models

Reference 18

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no resolver link, observed 2026-08-02T02:06:24.664871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:06:24.664871Z digest=sha256:2df9ae9d7bf006419faf2c0acc0c8095151b2c995020da5378effb76d64e5cc3