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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.319134Z digest=sha256:41a4a950c57a0881a6b740f8028779015c9658339a90b1cf956b1cf4b5700ecd

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

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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:f096cafdca69885dd1f5f03eb0a97d9f7c696bb6f1d808794c64de15c0584345

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.325219Z digest=sha256:6066ac8506f041d7df0a1266cca93941f269a6e2d001bef3a28ee9e4c9ef1d74

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.328001Z digest=sha256:6cb9db86a3d4cad218f33e53b3cc6b1fc42482748072b13106fc8eb49ac624bb

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.331212Z digest=sha256:5d14183c0050192f574e29873dfbb8990b0a2e3eea349599fcafb019f91737fc

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.334378Z digest=sha256:da373a4a2bfd97cd2be7713d673346d0e71b441e76021505a8249b71c963d1b8

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.337380Z digest=sha256:cd7252c296ef96372c44d737fbc0ad17bd852d7fb25daabfdb4e380bc0d2e8c7

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.340057Z digest=sha256:7a62dbaf99b9ec31be457092975f80ab388bf1338f0236bb2081a7228501bb1f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.342642Z digest=sha256:f4e5f9e95ddf46575d5eb9a2c2157a65cdcdf37001d6f1aee1921429f48a4dae

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.344997Z digest=sha256:0c320fdaa090e43a4efd2eadd7e8c19bc644d4e7a44b52ee834edae5555fd2fc

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.347847Z digest=sha256:2357dab048e988c8b6ac0b7cd9d4851c587ae79afe7ae56fbae54e8b22952696

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.350933Z digest=sha256:7e863913daa81b9e690424a61ce4e452c577fbfc9589aab28929a0aa126e0f41

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.353517Z digest=sha256:41b2c7874630ddddcaf396e73ca1ee8d24602f7351066f0e8d2f0b3a25346e5f

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.355888Z digest=sha256:7cd593291667682ad83f32094605873281894277d6b10b623c2bd348c4ae3a11

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.358554Z digest=sha256:fa91411f1d30585d04979f6d1560e3a0fd67a0d017546612fde664cdaf04eb05

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

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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=sha256:9615bc98cf79b7b9f88db094685b938359c251fe615a4047a65cf72efa6a0667

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.363760Z digest=sha256:af2bc131c16c66beb33635cb41d1cbe1822bf4f8ad8cd79bab60f8a19c8b0b92

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.366231Z digest=sha256:60f51042de0d1f9cbfa6d2c5b41038350497f147dad5bd83b5e1e2beb6d9a8d9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:37:07.369201Z digest=sha256:b7bbd09ab187e505714c1ce061bfe342fbae857153f2528a9a11512e17222cd2

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=sha256:1754247986cc8d22c1aa240fd69b80d38ae45102867296ce9ec484eb5a15b95d

Pith citing papers

No inbound Pith citation observations are available.