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Paper Citation Record · LEDGER

Unpacking the Individual Components of Diffusion Policy

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.00084.

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

pith.paper-citation-record.v1
2412.00084 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:39:42.751555Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

32 of 32 outbound references displayed

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  • verified fuzzy9
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation aea3e792-9cd1-4ccf-ae4c-9a94ec065a21 · outbound

This paper cites The aloha system: Another alternative for computer communications.

Unpacking the Individual Components of Diffusion Policy The aloha system: Another alternative for computer communications

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8481c458-0a00-41a2-a838-3f84c62c8e11 · outbound

This paper cites LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion.

Unpacking the Individual Components of Diffusion Policy LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion

Reference 2

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Observation 9ce532f3-1f6b-41a5-b771-f3ab98fca748 · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.

Unpacking the Individual Components of Diffusion Policy Decision transformer: Reinforcement learning via sequence modeling

Reference 3

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Observation dab67e06-79c1-41f6-83ca-9dbfc08e3076 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Unpacking the Individual Components of Diffusion Policy Diffusion policy: Visuomotor policy learning via action diffusion

Reference 4

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Observation a851b68c-fec2-418a-a5ec-d0d9440f3bfa · outbound

This paper cites Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning.

Unpacking the Individual Components of Diffusion Policy Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 5

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source=pdf_text observed=2026-08-12T11:39:42.625166Z digest=sha256:b703864e376e9e25f1a9a86186dd809232a1dc89d0c69c99fc4b61b279e41ef3

Observation 5d1b78b2-511d-4962-8702-b0020910a6b2 · outbound

This paper cites Bayesian imitation learning for end-to-end mobile manipulation.

Unpacking the Individual Components of Diffusion Policy Bayesian imitation learning for end-to-end mobile manipulation

Reference 6

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Observation 11d6e09c-d2d0-4886-99e4-5662047c903b · outbound

This paper cites Implicit behavioral cloning.

Unpacking the Individual Components of Diffusion Policy Implicit behavioral cloning

Reference 7

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Observation 622affff-6bdf-48d6-98b6-aed259081d32 · outbound

This paper cites ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.

Unpacking the Individual Components of Diffusion Policy ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:39:42.640786Z digest=sha256:2e185562e9f1b0335353b1a5efcda63071a1372de35e650d50162b8fd1d26df5

Observation 8852e588-790e-4342-ba6b-ba389f88887e · outbound

This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

Unpacking the Individual Components of Diffusion Policy IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 9

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Observation 0af87517-7637-4ba2-b9a1-5367aff90f38 · outbound

This paper cites Denoising diffusion probabilistic models.

Unpacking the Individual Components of Diffusion Policy Denoising diffusion probabilistic models

Reference 10

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source=pdf_text observed=2026-08-12T11:39:42.650643Z digest=sha256:a3894078add61bc578fbc4fe56522665d0ad614b221ecf343f1791db2187d8c2

Observation 34b6cbef-7997-4a0a-b81b-2eceeae91193 · outbound

This paper cites Coarse-to-fine imitation learning: Robot manipulation from a single demon- stration.

Unpacking the Individual Components of Diffusion Policy Coarse-to-fine imitation learning: Robot manipulation from a single demon- stration

Reference 11

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 918390b5-de2a-4707-8462-f92a770dde16 · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

Unpacking the Individual Components of Diffusion Policy What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 12

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Observation e6d7af80-bcb1-4c0e-93a7-dbd8a9d8977e · outbound

This paper cites Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning.

Unpacking the Individual Components of Diffusion Policy Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:39:42.664102Z digest=sha256:979d794309cf56a41504546af6210ba4e25f8ee6d25ad195bf4a61cc8eddd76d

Observation d9bfea6a-297d-4970-a159-3d667bdb5836 · outbound

This paper cites ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.

Unpacking the Individual Components of Diffusion Policy ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:39:42.669064Z digest=sha256:c9f1bfacab0540ce91431e9288ff03fc55c4037d29cfade7ad3a739b9a4039c7

Observation cdbd1ee3-7063-48f6-bdda-44f42617c8df · outbound

This paper cites Scalable diffusion models with transformers.

Unpacking the Individual Components of Diffusion Policy Scalable diffusion models with transformers

Reference 15

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Observation 94f26d7b-e062-4d71-84c2-1a68deb4cf4e · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

Unpacking the Individual Components of Diffusion Policy Film: Visual reasoning with a general conditioning layer

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:39:42.678302Z digest=sha256:b456ba7849622ca46ff23f4eb1c09a243b843d4e17fbce21fa67cb0ae142a771

Observation 7f7c7de7-b498-439b-ae36-4edd11351e50 · outbound

This paper cites Dexmv: Imitation learning for dexterous manipulation from human videos.

Unpacking the Individual Components of Diffusion Policy Dexmv: Imitation learning for dexterous manipulation from human videos

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:39:42.682723Z digest=sha256:b8f462fded2f1ef109f70151bc7b7e74f0a4e3107d1380b1921f82a5fccd8635

Observation 947eed28-d3e9-4d74-b36a-6b3692e75808 · outbound

This paper cites State-only imitation learning for dexterous manipulation.

Unpacking the Individual Components of Diffusion Policy State-only imitation learning for dexterous manipulation

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7bd1acfb-93fa-403d-bc0a-57d3fad6bc7b · outbound

This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

Unpacking the Individual Components of Diffusion Policy Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 19

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source=pdf_text observed=2026-08-12T11:39:42.691574Z digest=sha256:b1f964e3d3bae7e715a539dad7db4d3bb0a5db4f3aabad6a6285ebdecaa9c71c

Observation b488c375-c523-4cff-9709-f20490ef97cf · outbound

This paper cites Imitation learning for locomotion and manipulation.

Unpacking the Individual Components of Diffusion Policy Imitation learning for locomotion and manipulation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:39:42.696532Z digest=sha256:9fa0076492cb07329760af702f842e77424cc5850d69ed6802bb2b38e2d07549

Observation c7d0818a-1f7d-4052-8aec-a7a167fc83ab · outbound

This paper cites Diffusion Policy Policy Optimization.

Unpacking the Individual Components of Diffusion Policy Diffusion Policy Policy Optimization

Reference 21

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source=pdf_text observed=2026-08-12T11:39:42.701126Z digest=sha256:93ae33513841c6e08942e43b9cd16cba934b8158a09bf6ff4c5fb62183723b8d

Observation 72f42e12-114c-45df-be1b-dad96bf3a9be · outbound

This paper cites Goal-Conditioned Imitation Learning using Score-based Diffusion Policies.

Unpacking the Individual Components of Diffusion Policy Goal-Conditioned Imitation Learning using Score-based Diffusion Policies

Reference 22

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Observation 3aa2b016-3a31-42f4-97c8-08f295b4b29b · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Unpacking the Individual Components of Diffusion Policy U-net: Convolutional networks for biomedical image segmentation

Reference 23

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Observation f2bd65d0-72ca-4487-b13d-16a65bb0742a · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Unpacking the Individual Components of Diffusion Policy Photorealistic text-to-image diffusion models with deep language understanding

Reference 24

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source=pdf_text observed=2026-08-12T11:39:42.715443Z digest=sha256:f60dda3888d3a2eb683d2300b2777f555a43e6ed3e87f9159eab4333b1450dff

Observation ddcad559-66d1-4e3c-9bc6-0db6744397cd · outbound

This paper cites Behavior transformers: Cloning k modes with one stone.

Unpacking the Individual Components of Diffusion Policy Behavior transformers: Cloning k modes with one stone

Reference 25

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 57f61236-dc6b-468d-b819-546817db73d9 · outbound

This paper cites Language-conditioned imitation learning for robot manipulation tasks.

Unpacking the Individual Components of Diffusion Policy Language-conditioned imitation learning for robot manipulation tasks

Reference 26

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 75d9d2a2-4aca-4c2d-957e-3cc49c065f32 · outbound

This paper cites Attention is all you need.

Unpacking the Individual Components of Diffusion Policy Attention is all you need

Reference 27

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source=pdf_text observed=2026-08-12T11:39:42.729041Z digest=sha256:c263f615e26cf2548049a356492e736c0559c3b46121bd0141bcc4d0d5e43dfd

Observation 34d410d9-1cd6-4718-b7d2-bb744ba12138 · outbound

This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

Unpacking the Individual Components of Diffusion Policy Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 28

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source=pdf_text observed=2026-08-12T11:39:42.733318Z digest=sha256:ca754f020fb3f3af0b20bed7da3a8a333644c643e4cdeb49bfdef5bbb74273e0

Observation 248ec6e0-4ac8-4af7-91e1-e3062d13787b · outbound

This paper cites Error-aware imitation learning from teleoperation data for mobile manipulation.

Unpacking the Individual Components of Diffusion Policy Error-aware imitation learning from teleoperation data for mobile manipulation

Reference 29

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raw_fallback, observed 2026-08-12T11:39:43.005993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:39:42.738008Z digest=sha256:172231308dde993d33cb2f5dc037e229c3eb87c5f75f3682a805869092065110

Observation 4b5ef167-2523-4ad0-9522-912f1a086203 · outbound

This paper cites Deep imitation learning for bimanual robotic manipulation.

Unpacking the Individual Components of Diffusion Policy Deep imitation learning for bimanual robotic manipulation

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-12T11:39:42.990382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:39:42.742600Z digest=sha256:5ea18eaf0e3f0ccac48990c3f85d00698038143c43766ac85bdc8b1bdbcbb559

Observation fcd53f2a-12fe-472e-b27e-0988879e7439 · outbound

This paper cites Policy Representation via Diffusion Probability Model for Reinforcement Learning.

Unpacking the Individual Components of Diffusion Policy Policy Representation via Diffusion Probability Model for Reinforcement Learning

Reference 31

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source=pdf_text observed=2026-08-12T11:39:42.746886Z digest=sha256:0e8bcf4cdc84fe5108f55f89f94072b3d5f3fa13ca0c72ab403f87a0c2f83aea

Observation 68958c47-88d7-486b-82c6-b1d796122b75 · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

Unpacking the Individual Components of Diffusion Policy 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 32

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source=pdf_text observed=2026-08-12T11:39:42.751555Z digest=sha256:d414f003ae2185f4d733526e684d7179857235728709c050495a5ace818552fa

Pith citing papers

No inbound Pith citation observations are available.