Paper Citation Record · LEDGER

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.06957.

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

pith.paper-citation-record.v1
2607.06957 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T01:24:07.087802Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

40 of 40 outbound references displayed

verified exact3
verified fuzzy36
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7cb737f-08fc-4753-867c-ca518ea78952 · outbound

This paper cites Carla: An open urban driving simulator,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Carla: An open urban driving simulator,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.514115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2079016-f424-4d2e-9ab9-3823aa95ccf7 · outbound

This paper cites Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.496744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 56076cc9-babf-4acd-bc70-e806e4ca935c · outbound

This paper cites The waymo open sim agents challenge,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation The waymo open sim agents challenge,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.500851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dfc85f46-9edb-421c-bc95-accb5c28471e · outbound

This paper cites Trafficsim: Learning to simulate realistic multi-agent behaviors,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Trafficsim: Learning to simulate realistic multi-agent behaviors,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.504302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 73361175-3a9f-4377-adf6-f8c8eab980e4 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.492155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0fce2293-77d7-439a-b112-dc0905b932c9 · outbound

This paper cites Improv- ing language understanding by generative pre-training,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Improv- ing language understanding by generative pre-training,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.492353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e3f6c7d-910c-4c40-b30c-6b6d3ed74a01 · outbound

This paper cites Denoising diffusion probabilistic models,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Denoising diffusion probabilistic models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.519157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3bbcf79-1001-42fc-b722-7a8079fe7bbc · outbound

This paper cites Trajeglish: Traffic modeling as next-token prediction,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Trajeglish: Traffic modeling as next-token prediction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.468481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b56b61d0-0749-4dab-816c-df4b834fac6c · outbound

This paper cites Smart: Scalable multi-agent real-time motion generation via next-token prediction,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Smart: Scalable multi-agent real-time motion generation via next-token prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.504511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a45a35c-9eba-4818-9fb2-c29a9e89249c · outbound

This paper cites Trajtok: What makes for a good trajectory tokenizer in behavior generation?.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Trajtok: What makes for a good trajectory tokenizer in behavior generation?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.473464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b6d8f42d-562c-42d3-911f-e0d015e0faf4 · outbound

This paper cites Versatile behavior diffusion for generalized traffic agent simulation,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Versatile behavior diffusion for generalized traffic agent simulation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.460577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88057503-2302-45ce-90b4-c975aaaff783 · outbound

This paper cites Scenediffuser: Efficient and controllable driving simulation initialization and rollout,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Scenediffuser: Efficient and controllable driving simulation initialization and rollout,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.506203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fdeda2b2-28c8-4b08-9b10-d4ea5ced91f4 · outbound

This paper cites MDG: Masked denoising generation for multi-agent behavior modeling in traffic environments.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation MDG: Masked denoising generation for multi-agent behavior modeling in traffic environments

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-09T01:25:49.408946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a4ebde1f-2715-4b4f-a9bf-3ab313052f74 · outbound

This paper cites Revisit mixture models for multi-agent simulation: Experimental study within a unified framework,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Revisit mixture models for multi-agent simulation: Experimental study within a unified framework,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.515546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff9fdd93-cd5a-4205-a4cd-5209f350c733 · outbound

This paper cites Closed-loop supervised fine-tuning of tokenized traf- fic models,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Closed-loop supervised fine-tuning of tokenized traf- fic models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.486762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb61d38c-c516-4115-8e65-3c8c61f304eb · outbound

This paper cites Advancing multi-agent traffic simulation via r1-style reinforcement fine-tuning,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Advancing multi-agent traffic simulation via r1-style reinforcement fine-tuning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.480311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 36a7d720-232f-4243-a78e-10ce8e462a5a · outbound

This paper cites Kigras: Kinematic-driven generative model for realistic agent simulation,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Kigras: Kinematic-driven generative model for realistic agent simulation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.502706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90a5add5-a843-42df-9a93-ea989bb5212f · outbound

This paper cites Guided conditional diffusion for controllable traffic simulation,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Guided conditional diffusion for controllable traffic simulation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.453429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e7622e1-81da-4f6e-8a3a-81f072c686a9 · outbound

This paper cites Diffusiondrive: Truncated diffusion model for end-to- end autonomous driving,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Diffusiondrive: Truncated diffusion model for end-to- end autonomous driving,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.446593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44596306-c461-4454-acea-97dd4b385884 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation A reduction of imitation learning and structured prediction to no-regret online learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.507948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a2d14f77-a4bd-44e3-bf1f-5f29ebabd9d1 · outbound

This paper cites Road: Rollouts as demonstrations for closed-loop supervised fine-tuning of autonomous driving policies.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Road: Rollouts as demonstrations for closed-loop supervised fine-tuning of autonomous driving policies

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-09T01:25:49.405275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d6e6b6fd-2ee1-4a41-8b6f-42fc808963aa · outbound

This paper cites Langtraj: Diffusion model and dataset for language-conditioned trajectory simulation,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Langtraj: Diffusion model and dataset for language-conditioned trajectory simulation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.481141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fcc93778-cc1d-479e-bde2-35052dfdd81b · outbound

This paper cites RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-09T01:25:49.409195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c57d1d94-b3a5-4698-9f2c-32388aa9fd56 · outbound

This paper cites DecompGAIL: Learning realistic traffic behaviors with decomposed multi-agent generative adversarial imitation learning,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation DecompGAIL: Learning realistic traffic behaviors with decomposed multi-agent generative adversarial imitation learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.513630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6e9fe2e5-0541-4820-b7bf-2af5fc9180b3 · outbound

This paper cites Flow matching for generative modeling,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Flow matching for generative modeling,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.475406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a37eec41-d808-468c-915b-4d49a34881e8 · outbound

This paper cites BehaviorGPT: Smart agent simulation for autonomous driving with next-patch prediction,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation BehaviorGPT: Smart agent simulation for autonomous driving with next-patch prediction,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.483370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2a51daa2-41cc-48de-923c-e3fea57989a4 · outbound

This paper cites SAFE-SIM: Safety-critical closed-loop traffic simulation with diffusion-controllable adversaries,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation SAFE-SIM: Safety-critical closed-loop traffic simulation with diffusion-controllable adversaries,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.490475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ecda86f7-c874-4ae0-be08-5111d78b22f3 · outbound

This paper cites ProSim: Promptable closed-loop traffic simulation,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation ProSim: Promptable closed-loop traffic simulation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.490271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 531b528e-7d5d-43f6-800c-c3616943add6 · outbound

This paper cites Decoupled diffusion sparks adaptive scene generation,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Decoupled diffusion sparks adaptive scene generation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.488695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c464badd-eb16-46d0-a177-9d2cef875fbf · outbound

This paper cites Generative adversarial imitation learning,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Generative adversarial imitation learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.517382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ebd323c6-742b-4220-b19e-fbd641c95306 · outbound

This paper cites Improving multi-step prediction of learned time series models,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Improving multi-step prediction of learned time series models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.508279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fecd9607-cd56-4e3e-982d-9379ab1844e2 · outbound

This paper cites A survey of motion planning and control techniques for self-driving urban vehicles,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation A survey of motion planning and control techniques for self-driving urban vehicles,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.485653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5011466e-f1a8-4588-b8b3-4317df7cf638 · outbound

This paper cites Guar- anteeing consistency in a motion planning and control architecture using a kinematic bicycle model,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Guar- anteeing consistency in a motion planning and control architecture using a kinematic bicycle model,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.506561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83104d50-fd82-4551-883b-0cf4c51b97f6 · outbound

This paper cites A learning algorithm for continually running fully recurrent neural networks,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation A learning algorithm for continually running fully recurrent neural networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.509646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f56bd7c5-7d2b-41d5-a3b0-6d2f58d533a6 · outbound

This paper cites Imitation learning as f-divergence minimization,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Imitation learning as f-divergence minimization,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.473571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 38f963d3-66d7-4b3a-9e40-ebe4d23832e3 · outbound

This paper cites an unresolved cited work.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-07-09T01:25:49.511632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 45d26fb7-5dbc-4f8d-9922-f920bcd33eb9 · outbound

This paper cites Scalable diffusion models with transformers,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Scalable diffusion models with transformers,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.500713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dcf78480-947d-4623-927e-103999d3c11a · outbound

This paper cites One-step diffusion with distribution matching distilla- tion,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation One-step diffusion with distribution matching distilla- tion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.494132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 10202663-5e1d-4327-85dd-b83f033bb2a9 · outbound

This paper cites Self Forcing: Bridging the train-test gap in autoregressive video diffusion,.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Self Forcing: Bridging the train-test gap in autoregressive video diffusion,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.471101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 67af8ff4-9c51-4918-9441-e9d73b9d72dd · outbound

This paper cites Classifier-free diffusion guidance.

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation Classifier-free diffusion guidance

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T01:25:49.512212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.