Paper Citation Record · LEDGER

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 3 inbound Pith citation observations for arXiv:2506.01121.

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

pith.paper-citation-record.v1
2506.01121 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:41.014414Z

measured 33 of 33 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:19:17.181437Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:27:47.930306Z

Reference resolution

30 of 30 outbound references displayed

verified exact3
verified fuzzy5
unresolved20
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b9815d1-7cfe-4239-befc-5dd9fc583f89 · outbound

This paper cites an unresolved cited work.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-07T11:58:41.531075Z

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.

Observation fee70fe5-2ac7-4a87-a656-0c119e026cf3 · outbound

This paper cites Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:38.046303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f008caed-382e-4b3a-a63e-cd98722f6dd0 · outbound

This paper cites RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:58:37.923687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10325462-bcba-4d24-8f17-1eee6fb351e6 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Categorical Reparameterization with Gumbel-Softmax

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:38.460561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102fd97b-9ac6-44f6-9782-613ddc5f265e · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:38.829122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fd5c52c-d172-4293-aa42-77d8918b4fe0 · outbound

This paper cites Do generative video models understand physical principles?.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Do generative video models understand physical principles?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:38.971134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 116a7287-594a-4bf1-8fcc-fc08a0b12510 · outbound

This paper cites Jailbreaking LLM-Controlled Robots.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Jailbreaking LLM-Controlled Robots

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:39.441328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf80086b-d4aa-4243-9be7-12790735844a · outbound

This paper cites Simple Guidance Mechanisms for Discrete Diffusion Models.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Simple Guidance Mechanisms for Discrete Diffusion Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:39.631865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e93fffd-6830-4c1a-893f-8a2f2cb597bb · outbound

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

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Multi-Robot Motion Planning with Diffusion Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:39.775224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f05b2cf-118d-4e44-8d93-9f41711ae293 · outbound

This paper cites Towards safe autonomous driving policies using a neuro-symbolic deep reinforcement learning approach.arXiv preprint arXiv:2307.01316,.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Towards safe autonomous driving policies using a neuro-symbolic deep reinforcement learning approach.arXiv preprint arXiv:2307.01316,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:39.923147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91e6ab75-19c2-43c1-9473-eeb269237b41 · outbound

This paper cites Simplified and Generalized Masked Diffusion for Discrete Data.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Simplified and Generalized Masked Diffusion for Discrete Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:40.051599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dc3b8ac-95e0-424f-955b-663718d451c2 · outbound

This paper cites DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:58:41.804864Z

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.

Observation c2fd90b1-a4a2-4072-a72b-385daf4b7bb4 · outbound

This paper cites Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:40.357177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a506dee4-a07f-495b-9421-a60413221e08 · outbound

This paper cites an unresolved cited work.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:58:43.751330Z

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.

Observation 9cf38af2-61f9-45f9-9826-89823d1e4428 · outbound

This paper cites an unresolved cited work.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:58:43.449877Z

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.

Observation 1b88098b-0b2c-4881-943d-686679f13f63 · outbound

This paper cites flip costs.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation flip costs

Reference 27

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:58:43.135658Z

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.

Observation f28c8a30-7fb4-48df-b439-53a655538611 · outbound

This paper cites three-membered heterocycle.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation three-membered heterocycle

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:58:42.885031Z

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.

Observation e1dd1e24-051a-4fc2-8c76-d1fa763613b2 · outbound

This paper cites This is particularly exasperated as we scale the number of agents and obstacles.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation This is particularly exasperated as we scale the number of agents and obstacles

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:58:42.584760Z

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.

Observation d691c0eb-2381-4b2c-8b80-a6543b189130 · outbound

This paper cites The conditional model is implemented following V oleti et al.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation The conditional model is implemented following V oleti et al

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:58:42.346166Z

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.

Observation 22575156-c22d-47ad-b569-6be41446a456 · outbound

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

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Motion planning diffusion: Learning and planning of robot motions with diffusion models

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:37.627319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825c281e-271c-4174-9368-3695d89a34c3 · outbound

This paper cites Simple and Effective Masked Diffusion Language Models.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Simple and Effective Masked Diffusion Language Models

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:39.561862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa5303d9-91a3-4ce5-9e35-018d631247a0 · outbound

This paper cites Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, and George J.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, and George J

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:39.315863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa2df788-0862-4ea6-a5b7-813c4a8482f8 · outbound

This paper cites Scalfani, Rachel Walker, Kazuya Uji- hara, Daniel Probst, Juuso Lehtivarjo, Hussein Faara, guillaume godin, Axel Pahl, and Jeremy Monat.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Scalfani, Rachel Walker, Kazuya Uji- hara, Daniel Probst, Juuso Lehtivarjo, Hussein Faara, guillaume godin, Axel Pahl, and Jeremy Monat

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:58:44.399643Z

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.

Observation ba250b02-8c1f-4d1e-8eac-97e0f4a170e9 · outbound

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

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:40.153057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0d46fd1-5f1c-438b-bb22-5951a2c717a6 · outbound

This paper cites Plug and Play Language Models: A Simple Approach to Controlled Text Generation.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:37.732192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c48e0ce3-1856-47cd-ac85-e736203cd40a · outbound

This paper cites Red Teaming Language Models with Language Models.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Red Teaming Language Models with Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:39.102180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cafbf2c3-5b53-4f87-a6ff-d222b696a33c · outbound

This paper cites Sampling constrained tra- jectories using composable diffusion models.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Sampling constrained tra- jectories using composable diffusion models

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:58:44.063463Z

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.

Observation f7b710fe-50d9-4110-91c3-906c1a2711f5 · outbound

This paper cites Gradient Guidance for Diffusion Models: An Optimization Perspective.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Gradient Guidance for Diffusion Models: An Optimization Perspective

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:38.208407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f286e9e-abfe-429d-bc17-3a50318e114e · outbound

This paper cites Classifier-Free Diffusion Guidance.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Classifier-Free Diffusion Guidance

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:38.356525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e19a9eb-dd36-4424-afd7-680adb26c1f4 · outbound

This paper cites Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, and Lichao Sun.

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, and Lichao Sun

Reference 2025

Resolution: verified exact; doi, observed 2026-08-07T11:58:41.274932Z

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.

Pith citing papers

Observation 6ae4d008-96ab-45c1-b891-20c4a925b705 · inbound

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning cites this paper.

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:17.181437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a03f4c-b4dd-4269-b2d4-6528f116c6d3 · inbound

Symbolic Neural Generation with Applications to Lead Discovery in Drug Design cites this paper.

Symbolic Neural Generation with Applications to Lead Discovery in Drug Design Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T07:59:21.322189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 525a8f74-9410-4914-aa97-5a52cafbdd4a · inbound

Constrained Code Generation with Discrete Diffusion cites this paper.

Constrained Code Generation with Discrete Diffusion Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:27:47.932152Z

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.