Paper Citation Record · LEDGER

MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2306.17770.

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

pith.paper-citation-record.v1
2306.17770 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:11:49.093202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:49:58.048845Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 69fee98d-e9b1-4040-a2fd-a80f901fcd8e · inbound

Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding cites this paper.

Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T19:11:49.093202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571d44fa-d8ba-4fdb-b24d-616b2c7de3d4 · inbound

V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction cites this paper.

V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T00:59:47.740694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f19bd35-3992-4658-a1e7-03078501aa7a · inbound

Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation cites this paper.

Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:45.766925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf79a6f9-cc3f-4fe1-8a8a-fc07991b1854 · inbound

Scaling Laws of Motion Forecasting and Planning -- Technical Report cites this paper.

Scaling Laws of Motion Forecasting and Planning -- Technical Report MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:23:32.523853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b16eba7-9b7d-4915-9574-efd43a893774 · inbound

Super Agents and Confounders: Influence of surrounding agents on vehicle trajectory prediction cites this paper.

Super Agents and Confounders: Influence of surrounding agents on vehicle trajectory prediction MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:48:11.691897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6d096ac8-5e67-4726-87ff-886d20dfbd4c · inbound

Kerr-Schild Double Copy of the Randall-Sundrum Black String cites this paper.

Kerr-Schild Double Copy of the Randall-Sundrum Black String MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-15T11:39:16.503017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa143d05-c371-4f0a-8620-465245e655c0 · inbound

Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning cites this paper.

Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:50:54.267304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation db86b3aa-9e00-4477-b8e9-63b7336577d8 · inbound

Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank cites this paper.

Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:05.622536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1c4beb17-e42a-4616-8659-5d2bafada0d5 · inbound

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems cites this paper.

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:27.302342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32576630-1cb7-4169-bb17-d8f5d15a8461 · inbound

Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs cites this paper.

Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:49:58.050174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.