Pith. sign in

Paper Citation Record · LEDGER

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction

As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2411.16457.

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

pith.paper-citation-record.v1
2411.16457 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:11:49.423780Z

measured 57 of 57 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:11:49.423780Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T13:11:49.457598Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact3
  • verified fuzzy45
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c861e09-bd18-49f7-8994-c6cac2e2d845 · outbound

This paper cites A survey on trajectory-prediction methods for autonomous driving,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction A survey on trajectory-prediction methods for autonomous driving,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.216419Z

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=2026-08-12T13:11:49.182745Z digest=sha256:1e16843805974bc3f72210f716c460bc7302e79f2e3abc6bb8f741f3062acd08

Observation 7ba8e632-b64f-4f3d-b399-9d32863c7313 · outbound

This paper cites Mftraj: Map-free, behavior-driven trajectory prediction for autonomous driving,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Mftraj: Map-free, behavior-driven trajectory prediction for autonomous driving,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.204697Z

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=2026-08-12T13:11:49.187632Z digest=sha256:fda32f78ee610e97b6d3971e15df461d7c55b0bfe8277369a16210a2afb0da70

Observation be762fa0-ec2a-4482-929e-ac81b99bb1f8 · outbound

This paper cites Physics-informed trajectory prediction for au- tonomous driving under missing observation,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Physics-informed trajectory prediction for au- tonomous driving under missing observation,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.191865Z

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=2026-08-12T13:11:49.192887Z digest=sha256:9048f1e9d5fd71fcbea5555b20bb787f7da1525d46970f35dd1a8e7e41bcbaee

Observation 98073373-6109-4b19-9a12-b7c50b1744c6 · outbound

This paper cites GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Atten- tion with Large Language Models,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Atten- tion with Large Language Models,

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-12T13:11:49.652729Z

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=2026-08-12T13:11:49.198490Z digest=sha256:9c73c96e2d56eae4bdbefe70de5ae1f8dc2e5732dcc4b99df84e533ac1b89b1e

Observation fbe70d82-9bcb-46a2-93b1-9505f12425e2 · outbound

This paper cites A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:11:49.574379Z

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=2026-08-12T13:11:49.202404Z digest=sha256:7529bb14fc2fb48de5cf1f3e7e3bf95c70fdcfcb11fe189dcefd785eabea30e9

Observation a010f059-c30e-4b3c-9e46-29957d70fd93 · outbound

This paper cites Uncertainty-aware driver trajectory prediction at urban intersections,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Uncertainty-aware driver trajectory prediction at urban intersections,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.179986Z

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=2026-08-12T13:11:49.207801Z digest=sha256:8fb841697beafed5425526707697d28a2f66ac6fb60b19c812c9c61a67d2881b

Observation 65e3c190-4270-4a7c-b9d4-caa7c6a0cb4a · outbound

This paper cites Bat: Behavior-aware human-like trajectory prediction for autonomous driving,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Bat: Behavior-aware human-like trajectory prediction for autonomous driving,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.168145Z

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=2026-08-12T13:11:49.213263Z digest=sha256:34769dcade839eb6db527207e08ba04baae20a76d616d9bd3672e225e970d561

Observation 5aad141d-b5f7-40d1-acb4-42c0b0e069b2 · outbound

This paper cites Gpt-4 enhanced multimodal grounding for au- tonomous driving: Leveraging cross-modal attention with large language models,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Gpt-4 enhanced multimodal grounding for au- tonomous driving: Leveraging cross-modal attention with large language models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.154964Z

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=2026-08-12T13:11:49.217652Z digest=sha256:92dd6cfe112d71c0cbb8e17d94565059bb3b05b1b8733dabac5d6c011976b9e0

Observation 8aaead06-e520-4398-b683-b125b7e0e7f6 · outbound

This paper cites Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:11:49.556996Z

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=2026-08-12T13:11:49.222347Z digest=sha256:4abf0235d73478d1a3572aa31f5ae0cbdac10a125c199f6ae1c5f608f2263176

Observation 5849754c-52b8-479b-8d0d-28f4e843a224 · outbound

This paper cites A cognitive-based trajectory prediction ap- proach for autonomous driving,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction A cognitive-based trajectory prediction ap- proach for autonomous driving,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.142771Z

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=2026-08-12T13:11:49.228772Z digest=sha256:cbd35369b3bfe1783d37e72275b8b72044d851b1dae518ab82e52fd288f96b55

Observation 3ceba366-c589-4d97-ba95-7ece0ab514fa · outbound

This paper cites Diverse and admissible trajectory forecasting through multi- modal context understanding,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Diverse and admissible trajectory forecasting through multi- modal context understanding,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.130585Z

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=2026-08-12T13:11:49.233674Z digest=sha256:99ec2545fa1dc8d594af36a29c6a9056513d5f9148e243d41352b3d67769e03e

Observation ef2905cb-9066-4ddd-a733-dc28e0ec4bf5 · outbound

This paper cites Extended kalman filter for state estimation and trajectory predic- tion of a moving object detected by an unmanned aerial vehicle,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Extended kalman filter for state estimation and trajectory predic- tion of a moving object detected by an unmanned aerial vehicle,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.118515Z

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=2026-08-12T13:11:49.238309Z digest=sha256:b633b9a47ce2782f0f90e57df56582bbcc5f98f3e04a09089681e63b8d78cc62

Observation 0c441bd7-16db-43c7-9ef2-c3e0c416546a · outbound

This paper cites Probabilistic vehicle trajectory predic- tion over occupancy grid map via recurrent neural net- work,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Probabilistic vehicle trajectory predic- tion over occupancy grid map via recurrent neural net- work,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.105058Z

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=2026-08-12T13:11:49.242210Z digest=sha256:2c1da3667e3d2b7abef3cee0fb9db8f9e56c0efc93ad46c1d94df70257c5fbdb

Observation 823218c3-9551-47a1-a6cf-d8941e5561ea · outbound

This paper cites An lstm network for highway trajectory prediction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction An lstm network for highway trajectory prediction,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.092115Z

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=2026-08-12T13:11:49.247391Z digest=sha256:29e812b71f71202ed26adcc38432ee73b0d0e8a4886c929c398872de43998b88

Observation 1ee99575-e0a5-47fd-bbd6-d9e81bed7d68 · outbound

This paper cites Social lstm: Human tra- jectory prediction in crowded spaces,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Social lstm: Human tra- jectory prediction in crowded spaces,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.079754Z

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=2026-08-12T13:11:49.252725Z digest=sha256:82cae6019bc41ec5c5916dd377da5e7ccb279836ada8f49b296d5e797ef53fec

Observation 26816278-6a50-4e77-994b-346f7349055f · outbound

This paper cites Ast-gnn: An attention-based spatio- temporal graph neural network for interaction-aware pedestrian trajectory prediction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Ast-gnn: An attention-based spatio- temporal graph neural network for interaction-aware pedestrian trajectory prediction,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.067020Z

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=2026-08-12T13:11:49.256945Z digest=sha256:63719355d43b0aaf7ab7ea7310db5a25b563c5fb61eb7a7723643cd15b42f47f

Observation aa26087e-d037-4c2e-9755-be6769015159 · outbound

This paper cites Goal-gan: Multimodal trajectory prediction based on goal position estimation,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Goal-gan: Multimodal trajectory prediction based on goal position estimation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.055005Z

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=2026-08-12T13:11:49.261729Z digest=sha256:b17786a56bbf30a0d2bedc35c1aaff0dbdd0c59505c58801f1782b16be200b18

Observation 2860c193-87df-4152-b45b-28171ad0fb82 · outbound

This paper cites Desire: Distant future prediction in dynamic scenes with interacting agents,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Desire: Distant future prediction in dynamic scenes with interacting agents,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.041459Z

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=2026-08-12T13:11:49.266864Z digest=sha256:f266f84fd9cc42528bda61e0bcde14e93debe344f2a4234ce26e2baa6e3cf812

Observation e6dee0dc-932f-4612-8e03-c0f7aac82e91 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T13:11:49.271025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:11:49.271025Z digest=sha256:74bdd812a38ed9fb60fef86c89ff148e8f37d0f6a7ff7b53141c5e75c4fd709d

Observation 8ba67f73-6c28-4564-9431-307190de7f14 · outbound

This paper cites High-resolution image synthesis with la- tent diffusion models,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction High-resolution image synthesis with la- tent diffusion models,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.024991Z

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=2026-08-12T13:11:49.275502Z digest=sha256:b62f8a8a7a4be1d729e55e0b8bc19d08b5911ea11c09b8c65054fd14efaefc09

Observation 8778feb4-7b97-43ff-8d3e-fd0d0221e46d · outbound

This paper cites Photorealistic text- to-image diffusion models with deep language under- standing,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Photorealistic text- to-image diffusion models with deep language under- standing,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:50.011631Z

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=2026-08-12T13:11:49.280434Z digest=sha256:a3fc5db1b32d1914cde1c352765f1a28c8df1b50a71b4f76bf97df10628aa12a

Observation 37539985-5b49-4e94-b9e7-40390df3786e · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Imagen Video: High Definition Video Generation with Diffusion Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T13:11:49.285444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:11:49.285444Z digest=sha256:fc82dff525b3b5a470560394761ca233922571490600fc9ef88eab6f314dd843

Observation d37176e8-23a2-4f48-8e63-9e7343a98cc5 · outbound

This paper cites Diffusion Probabilistic Modeling for Video Generation.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Diffusion Probabilistic Modeling for Video Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T13:11:49.290864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:11:49.290864Z digest=sha256:4063acfcd34806419b48373786b29476eb8af38f465541223a3e2f6c2ad170dd

Observation b4591648-6ef0-4fed-97ac-351ab5fde5ba · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction DreamFusion: Text-to-3D using 2D Diffusion

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T13:11:49.295068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:11:49.295068Z digest=sha256:af6d1561eb36738ccd6855461584c9de5d7a2944b3591a41e21e7eb0e9660bb5

Observation f3b1605b-c543-4cb3-87f7-22cc7901c48b · outbound

This paper cites Denoising diffusion probabilistic models,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Denoising diffusion probabilistic models,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T13:11:49.299429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:11:49.299429Z digest=sha256:b574f55b54e22b08a95f2ea5bd9bdaeedf8ddeceeb39248156c145fbab97041f

Observation d8895922-594e-4b8e-ba39-41a0d33f8932 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.990301Z

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=2026-08-12T13:11:49.304154Z digest=sha256:fef9fed985ad3ae3f1755b7d3a385bf36f35600fe2a5a98d2d9f77eddcef5032

Observation 62f21691-a664-4ebd-b7f7-b3662ab21696 · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial networks,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Social gan: Socially acceptable trajectories with generative adversarial networks,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.977675Z

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=2026-08-12T13:11:49.307605Z digest=sha256:9661bf6962db3dd33d7b5b0d7e666e245066f5ba98403be36b31bf95d5624807

Observation 37e644a2-4fd4-4d29-bc13-797fa768d83b · outbound

This paper cites Convolutional social pool- ing for vehicle trajectory prediction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Convolutional social pool- ing for vehicle trajectory prediction,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.965721Z

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=2026-08-12T13:11:49.312020Z digest=sha256:69c4fafbc90755f01aa232b31d76947ee817258108b326d4f5f41798bfaf34d4

Observation a01f8d66-d3d0-495c-a19f-f9ea1eeb9eb8 · outbound

This paper cites Multi-agent tensor fusion for contextual trajectory prediction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Multi-agent tensor fusion for contextual trajectory prediction,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.954140Z

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=2026-08-12T13:11:49.315853Z digest=sha256:5d33d16b2ecffd480af9f5a4861fef85fcf6d76ce10d891cc6d19e9adf730821

Observation 1eaa13c4-c91d-4b99-b5cf-e372df536a81 · outbound

This paper cites Non-local social pooling for vehicle tra- jectory prediction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Non-local social pooling for vehicle tra- jectory prediction,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.941286Z

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=2026-08-12T13:11:49.319983Z digest=sha256:2c7d765d26f3e6922c22e48810781d9f76c35090caf7fb73ec1bafbe5078f8eb

Observation d2a6bb7d-ad46-4f45-a77b-22111aff425d · outbound

This paper cites Multi-modal trajectory pre- diction of surrounding vehicles with maneuver based lstms,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Multi-modal trajectory pre- diction of surrounding vehicles with maneuver based lstms,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.929020Z

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=2026-08-12T13:11:49.323968Z digest=sha256:38655a939c41928674d2adc245a9694453f12b49d3f1c46f0560faeff1e52b18

Observation 276e0adf-c466-46ba-8096-8e1e768d40be · outbound

This paper cites Interaction-aware motion prediction for au- tonomous driving: A multiple model kalman filtering scheme,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Interaction-aware motion prediction for au- tonomous driving: A multiple model kalman filtering scheme,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.916469Z

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=2026-08-12T13:11:49.328134Z digest=sha256:faff30917a8347306a0429feceb45b4bd5a23c4be325c9a7e1515c1b3f0174d4

Observation 291cff2e-3fdd-40f7-a3b5-a6c8732d4a85 · outbound

This paper cites Imitating driver behavior with generative adversar- ial networks,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Imitating driver behavior with generative adversar- ial networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.904013Z

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=2026-08-12T13:11:49.332429Z digest=sha256:9902fd2ec94aa4ff4a74a132a362e14c61899fc30ba31c2d7111206b49a17c8c

Observation f9a42a32-769c-44a7-9bde-1523dedb0f34 · outbound

This paper cites Multiple futures prediction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Multiple futures prediction,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.892049Z

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=2026-08-12T13:11:49.337680Z digest=sha256:7b51691fcf8b687840f8b650e136f3c90b88db0a026eeeb193eddca014e5a056

Observation 1a19cf52-96f0-4c4c-af40-29831cee9faf · outbound

This paper cites Dual transformer based prediction for lane change in- tentions and trajectories in mixed traffic environment,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Dual transformer based prediction for lane change in- tentions and trajectories in mixed traffic environment,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.880826Z

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=2026-08-12T13:11:49.342582Z digest=sha256:b131d32b4c0612d6c4eecd7d13f40289e7a2e666a5e05542946684118e22121f

Observation 2da26c40-1b28-4640-960d-4ce27ddc5af1 · outbound

This paper cites Neighbourhood context embeddings in deep inverse reinforcement learning for predicting pedestrian mo- tion over long time horizons,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Neighbourhood context embeddings in deep inverse reinforcement learning for predicting pedestrian mo- tion over long time horizons,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.869432Z

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=2026-08-12T13:11:49.346726Z digest=sha256:29292d16313fc1f728e6b06f3791856a6422fc2180ef81acd43adaf0fa849f91

Observation 147bb9e4-ef95-4d19-956d-a440cb357594 · outbound

This paper cites Wsip: Wave superposition inspired pooling for dynamic interactions-aware trajectory prediction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Wsip: Wave superposition inspired pooling for dynamic interactions-aware trajectory prediction,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.855609Z

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=2026-08-12T13:11:49.350687Z digest=sha256:4a042e2d44d510e06c5dab00eb0bf75112ac07a763af195b7e929bdc57841d07

Observation 07080f56-f0a7-4cd8-b706-5c58c87f9054 · outbound

This paper cites Congestion-aware multi-agent trajectory prediction for collision avoidance,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Congestion-aware multi-agent trajectory prediction for collision avoidance,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.844341Z

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=2026-08-12T13:11:49.354484Z digest=sha256:f76760d84f432dd10f8499a5d017423f2d6c33bcd32cfb5df40f9108421530c4

Observation e8fdd59e-5d52-4b71-b7f7-01098ce951ba · outbound

This paper cites Attention based vehicle trajectory pre- diction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Attention based vehicle trajectory pre- diction,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.832784Z

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=2026-08-12T13:11:49.358072Z digest=sha256:64b971961c1e1efa1c3377c39d2c8c774de29534e0b6d79f25d647651099bb52

Observation d220a9cc-33f2-454e-9330-e8e3b103fee4 · outbound

This paper cites Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T13:11:49.361792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:11:49.361792Z digest=sha256:a8a89cf1794ed347ee60c0858cb0fe033fe6d3737fb62d580c9de1cdf6db85bf

Observation f22000c4-7048-428f-9232-66c1224eb1c6 · outbound

This paper cites Multi-vehicle collaborative learning for trajectory pre - diction with spatio-temporal tensor fusion,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Multi-vehicle collaborative learning for trajectory pre - diction with spatio-temporal tensor fusion,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.821559Z

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=2026-08-12T13:11:49.365621Z digest=sha256:a5f90ed1a9db9a14c714bd40191731659b08bc4b0975d18941d72bd5a3ff0cb1

Observation 6a8dffea-e08b-429f-85f9-5d42d3b8dbbc · outbound

This paper cites Intention-aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Intention-aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.809768Z

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=2026-08-12T13:11:49.369929Z digest=sha256:dde7be908a642e39a174d774576f626ebb0937d90f9010844206ffa9e6498304

Observation 53fdb328-38e7-4f68-960b-f8dd11a3a089 · outbound

This paper cites Environment-attention network for vehicle trajectory prediction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Environment-attention network for vehicle trajectory prediction,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.798124Z

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=2026-08-12T13:11:49.373376Z digest=sha256:ccba6588981ec22b2e5d722efaaccaecefcc3e134fc755f9ba17d5a2d6256251

Observation eb993c68-d6b7-4392-b48e-6cb9ab5c74e5 · outbound

This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T13:11:49.378231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:11:49.378231Z digest=sha256:861b69219ab262c12e1ce3401a3d42ad539fdf2f8d7dd1cb3f85512867ce356f

Observation 50dfc527-d37f-4de9-bb18-0f2781de5479 · outbound

This paper cites An introductory survey on attention mecha- nisms in nlp problems,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction An introductory survey on attention mecha- nisms in nlp problems,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.784586Z

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=2026-08-12T13:11:49.382510Z digest=sha256:7f3efbed7f51c1b5850f28a4848de16e7d025965bfee9fb878a426c574fa1799

Observation 260f5b9c-dff0-4b24-b569-2b4005a6a770 · outbound

This paper cites Evolveg- raph: Multi-agent trajectory prediction with dynamic relational reasoning,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Evolveg- raph: Multi-agent trajectory prediction with dynamic relational reasoning,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.773084Z

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=2026-08-12T13:11:49.386164Z digest=sha256:1cdd8b981613294ff370ef8f7fb815bb52fab39eaffa6e3253fa35d371f2f3a8

Observation d5e5106f-534a-4c6c-a6e9-75e44df5055d · outbound

This paper cites The highd dataset: A drone dataset of naturalistic ve- hicle trajectories on german highways for validation of highly automated driving systems,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction The highd dataset: A drone dataset of naturalistic ve- hicle trajectories on german highways for validation of highly automated driving systems,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.761884Z

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=2026-08-12T13:11:49.389762Z digest=sha256:bc88100c2af4504728a1622b3eebd2c8f0ee0758f51db2c4b9c95b87c0914310

Observation 386ac329-399e-41d9-8d7d-9150d6e7b9ae · outbound

This paper cites Multiple knowledge representation of artificial intelligence,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Multiple knowledge representation of artificial intelligence,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.750931Z

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=2026-08-12T13:11:49.393757Z digest=sha256:34d4eff0599f24b5e9dc1db2255075cb47b52acda6ad7c68cd71b9307d989173

Observation bfb7887d-ccc0-4d14-9581-40ad26587c4a · outbound

This paper cites Multi- head attention based probabilistic vehicle trajectory pre- diction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Multi- head attention based probabilistic vehicle trajectory pre- diction,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.739361Z

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=2026-08-12T13:11:49.397729Z digest=sha256:31279eb9d2f576c4f29f1e8c5409b5118c1616a02f18f691d14862148c791c3d

Observation 7c743f6e-83e0-40fd-b80c-3a48bcce3945 · outbound

This paper cites Multi-vehicle collaborative learning for trajectory pre - diction with spatio-temporal tensor fusion,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Multi-vehicle collaborative learning for trajectory pre - diction with spatio-temporal tensor fusion,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.727229Z

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=2026-08-12T13:11:49.401904Z digest=sha256:b6702aa12b87182adac253589959cc28a075d3dbf24c9743ccb3402eb2e7812d

Observation 3435e717-d56b-4791-a0a3-6189a91c6b4f · outbound

This paper cites Root mean square error (rmse) or mean absolute error (mae),.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Root mean square error (rmse) or mean absolute error (mae),

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.715183Z

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=2026-08-12T13:11:49.405660Z digest=sha256:4019460de98e94183d4715530537958c449873db50fcb368d2911c2e3be3c651

Observation 72549e85-d3e9-490a-8cc6-c9235b2f7110 · outbound

This paper cites Ss-lstm: A hierarchical lstm model for pedestrian trajectory predic- tion,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Ss-lstm: A hierarchical lstm model for pedestrian trajectory predic- tion,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.702720Z

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=2026-08-12T13:11:49.409303Z digest=sha256:26075aa1e9c86a405c894c2736593787a1c041871cd0f33fcb7ad03132529029

Observation f6381e38-2880-424f-acd5-a8d871af275b · outbound

This paper cites Encoding crowd interac- tion with deep neural network for pedestrian trajectory prediction,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Encoding crowd interac- tion with deep neural network for pedestrian trajectory prediction,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.690628Z

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=2026-08-12T13:11:49.413595Z digest=sha256:eabb05ccd5f93c26e68d47f8477d56a87baa67275cecaa6838fe14aa5ed647c4

Observation 248a95dd-3847-4ec8-91f9-a4f3c00503fe · outbound

This paper cites Dacr-amtp: adaptive multi-modal vehicle trajectory prediction for dynamic drivable areas based on collision risk,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Dacr-amtp: adaptive multi-modal vehicle trajectory prediction for dynamic drivable areas based on collision risk,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.679033Z

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=2026-08-12T13:11:49.417462Z digest=sha256:54a551eb94591f69070700b6b229d6a8ec21345f4c124937a50213021415f2f3

Observation b3ee1992-5314-4ce5-b68a-af609d5a3107 · outbound

This paper cites Trajectory prediction network of autonomous vehi- cles with fusion of historical interactive features,.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Trajectory prediction network of autonomous vehi- cles with fusion of historical interactive features,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:11:49.665998Z

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=2026-08-12T13:11:49.420490Z digest=sha256:e43cbc829e706c37560a6a5017f9c9e0cde8920e917dd514c4a6c0b8edd9c8a2

Observation 008b2a9e-db5f-43e9-86d8-63602a8d6323 · outbound

This paper cites Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T13:11:49.464108Z

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=2026-08-12T13:11:49.423780Z digest=sha256:4e62c46780158379343ed68f5a8af897645b1f6a8cf8989dfc95621f4789abd8

Pith citing papers

Observation 008b2a9e-db5f-43e9-86d8-63602a8d6323 · inbound

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction cites this paper.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T13:11:49.464108Z

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=2026-08-12T13:11:49.423780Z digest=sha256:4e62c46780158379343ed68f5a8af897645b1f6a8cf8989dfc95621f4789abd8