Pith. sign in

Paper Citation Record · LEDGER

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.05098.

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

pith.paper-citation-record.v1
2507.05098 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:37:07.371652Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79521af6-d71f-4a11-acb7-6f5e754c9639 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Argoverse 2: Next generation datasets for self-driving perception and forecasting,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.551193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.319134Z digest=sha256:43961b2754ae5f682bea79f408b8d02eaebf1e115a43789b28914310fd541ca1

Observation 62600bd6-8f32-47c6-9a7e-3c8cffb07849 · outbound

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

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:07.322499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:07.322499Z digest=sha256:01dcd32749d402acba8a91e20090f66c40ed83b06c06c38283b374b6d705d310

Observation 7e58512a-a85c-4c74-8d9a-8815ee052962 · outbound

This paper cites One thousand and one hours: Self-driving motion prediction dataset,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance One thousand and one hours: Self-driving motion prediction dataset,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.536397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.325219Z digest=sha256:4ab167afbb148bf4e22211095a509b2c9af201d2f753825e82bc9f1defdfe90f

Observation 6f8f6041-3fcf-46ef-a3a8-f91969cb7b4f · outbound

This paper cites Argoverse: 3D Tracking and Forecasting With Rich Maps,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Argoverse: 3D Tracking and Forecasting With Rich Maps,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.527173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.328001Z digest=sha256:7cc4fba69db952bdd47d83ad4aa534bfd2e23f5fe744ed87728ad1f1954700c7

Observation 41fae741-f106-4a7f-ba2a-ef20f39f8cf4 · outbound

This paper cites Shifts: A dataset of real distributional shift across multiple large-scale tasks,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Shifts: A dataset of real distributional shift across multiple large-scale tasks,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.518301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.331212Z digest=sha256:9280d818068e21eaedaa55b0789cae518745d953ddebaad631751175bdc82466

Observation c80ce1b6-56be-4f16-b1bf-79b53bf335a0 · outbound

This paper cites Query-Centric Trajectory Prediction,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Query-Centric Trajectory Prediction,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.510580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.334378Z digest=sha256:b163ffa35512a8343e7e9dde00102cf0a06f35fcc35c95aae9f12eab8e0958cb

Observation b3af6ec8-3237-47ce-919a-bf901711ccfd · outbound

This paper cites Argoverse 2: Motion Forecasting Competition,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Argoverse 2: Motion Forecasting Competition,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.502860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.337380Z digest=sha256:3aa48e11cbd02eb331d2009352668c06baf6a30d96896ebc705e2bc2ec008aeb

Observation 625a9bc5-d805-4b86-a748-f2a14e43c2d5 · outbound

This paper cites Vision meets robotics: The KITTI dataset,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Vision meets robotics: The KITTI dataset,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.495119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.340057Z digest=sha256:5632337a2f5264e0a16978bd728a42eab9469e323403cf9e01bee99d0a1c1485

Observation 863d0469-3763-45e7-9610-3b0baeba6eb7 · outbound

This paper cites Planet dump retrieved from https://planet.osm.org ,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Planet dump retrieved from https://planet.osm.org ,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.487438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.342642Z digest=sha256:c49ab8fc7a4a196583045b7171e71a2460834dfe8fe5b6985ae88e3dc4c074fb

Observation 6b258673-47af-4cab-a1bb-f29e2cb1640e · outbound

This paper cites Womd-lidar: Raw sensor dataset benchmark for motion forecasting,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Womd-lidar: Raw sensor dataset benchmark for motion forecasting,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.479886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.344997Z digest=sha256:c744a6f5e92a9658b92916316477d223e0836f023adcf9777b4722d39892ec0e

Observation 06192706-d06a-4753-b3a8-c75df83f621f · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized representation,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Vectornet: Encoding hd maps and agent dynamics from vectorized representation,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.472254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.347847Z digest=sha256:f0dabc14d8c3a90243fd3762e5e7eab8ba7c73f3a530806602b42c66cddeebe1

Observation 540b580e-3948-4362-9f65-294299fbca76 · outbound

This paper cites Learning lane graph representations for motion forecasting,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Learning lane graph representations for motion forecasting,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.464400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.350933Z digest=sha256:4ce49cde3e1fdecf3a3d286cfbced2d349a89447712974ec628a5062d7113c67

Observation 1c9ed1f8-4a98-4614-9d37-538c1c1c1217 · outbound

This paper cites TNT: Target- driven trajectory prediction,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance TNT: Target- driven trajectory prediction,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.456040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.353517Z digest=sha256:af21b0d07c6e15083d120b8c64cc6b99a5a454e509eb7a0392c7a163a1a8e0c2

Observation a05c8fa0-d107-4340-a530-8cc093f3818a · outbound

This paper cites Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.447470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.355888Z digest=sha256:45264c4fdb25e501a918b94d41eecbe5ecac8802cbccad5d5ccf9647087427e1

Observation 3479fd0a-f774-41df-9ca2-1d41d073c9b4 · outbound

This paper cites Motion Transformer with Global Intention Localization and Local Movement Refinement,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Motion Transformer with Global Intention Localization and Local Movement Refinement,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.439590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.358554Z digest=sha256:760a6f3d84e6a450b4ea7f0799a1e19ad8102a5ef024925b9b0d25dc3820a424

Observation 4302392f-7db6-4b60-b3e2-03dbb9532e29 · outbound

This paper cites MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:07.360944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:07.360944Z digest=sha256:65531135771f3182c7507ddbde2413dc52e36869787284d0dcd4a14f4e9c60c2

Observation 43df1608-61f4-4332-b1af-f9eaf406c2fa · outbound

This paper cites Mtr v3: 1st place solution for 2024 waymo open dataset challenge - motion prediction.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Mtr v3: 1st place solution for 2024 waymo open dataset challenge - motion prediction

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.431391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.363760Z digest=sha256:53c7395d9fa4b28484d3a042ab61225eda70de62bc9dacff4c6289d4878d0075

Observation af167238-fe1e-4fcb-b0bc-54d366340d39 · outbound

This paper cites Dynamic intent queries for motion transformer-based trajectory prediction,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Dynamic intent queries for motion transformer-based trajectory prediction,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.423313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.366231Z digest=sha256:004c54d6eba05b1fd6119ddc2b2b711d464d7b0a9bad0119175ceaecf9262f76

Observation 00a34bb6-a274-4443-bc2e-35c3e8d1bd98 · outbound

This paper cites QCNet: An Elegant, Performant, And Scalable Framework For Marginal/Joint Multi-Agent Trajectory Prediction,.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance QCNet: An Elegant, Performant, And Scalable Framework For Marginal/Joint Multi-Agent Trajectory Prediction,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:37:07.414931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:37:07.369201Z digest=sha256:000d32b740e01876f111d313708d22c35d47a69a0bf4c7e1f67d6a5b9fbb4015

Observation 8194a07b-6105-4ea5-8017-6c3b6a35636e · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:07.371652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:07.371652Z digest=sha256:7a14b23b5a9d3664040283a88f6a337c8b689992fd9254e881993a7ec415ad7b

Pith citing papers

No inbound Pith citation observations are available.