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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:08:35.613984Z

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.

source=pdf_text observed=2026-08-12T19:11:49.093202Z digest=sha256:44e8bfa1a925f1f0702f422e69503c0ff53a3239c2e1e1d85be541941aa813f5

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.

source=pdf_text observed=2026-08-12T00:59:47.740694Z digest=sha256:9b1a827aa9c88c4f2803e4d4d2c2d9a09288e5965e424d339d22c4fe1035f117

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.

source=pdf_text observed=2026-08-11T10:19:45.766925Z digest=sha256:a57fc02006712d45feac0044c412d7e533ac5955c8ec527ec12aaaa231b70797

Observation 5c3d36ff-df9b-4889-bb69-2114cdd724a4 · inbound

Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Any Convex Parametric Shapes cites this paper.

Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Any Convex Parametric Shapes MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T11:08:35.613984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:08:35.613984Z digest=sha256:40f6ee323fae414cae9d9f6d7fdb0a3fd3229ea3d2c9fadfdeea3b9c64f2a086

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.

source=pdf_text observed=2026-08-07T05:23:32.523853Z digest=sha256:8a286111fa115d36b46329fdb0191879088bafb54b45194660b9489e39ad8cc4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T19:43:15.915581Z digest=sha256:fd551d3da87bd9fdbec0ee974e66028c7eebaae364415814f47e2d5b44a1d5d2

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.

source=pdf_text observed=2026-07-15T11:39:16.503017Z digest=sha256:0edb66b7d88985073fb4fac674850c03c883d74e9777b8c04094e45e70968eac

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:50:48.512471Z digest=sha256:62342695bc84398b19f78a6be32ccefdfb5072741b49bb9a506cfb94bc790c39

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T15:12:20.245550Z digest=sha256:3e1d6bd6bf3c8dc86bc99d5bc761714009fffa91dc815feec60226f896422115

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T03:57:11.504679Z digest=sha256:e90c8214defd9b4c3679bbe5052f5c0dc7b280422402d9c55e841d359ffd2dff

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T01:16:40.007718Z digest=sha256:077aa49075368e379c9ed45c303f29d49dd9ccc5f90f32a46ab7c9eefcc83522