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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.319134Z digest=sha256:19f4fe870861ca0941a3eb9272a0d5b34d1c78f712dc66b57f20eade98a0fc04

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=sha256:01dcd32749d402acba8a91e20090f66c40ed83b06c06c38283b374b6d705d310

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.325219Z digest=sha256:d4d29cc23778537a9b66afedbad307740e09f85c8e290520180d1ff78614057a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.328001Z digest=sha256:c2060fb7e420dda2c0e288689f8eda6a9bd534f81b08a6d7929ac12229b58005

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.331212Z digest=sha256:dd51e926e1addcd71602dcecb8415c9f892f6d0b9da601d333994a04ed4b61ca

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.334378Z digest=sha256:ff7543ee80412f35020f5ebc43c4b1fee1868de9a922bcd844f0ea5dee1bc022

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.337380Z digest=sha256:1f646d561c149427dfb3d77a93522c9cf445fa0058d9cf19f1c64f0271397326

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.340057Z digest=sha256:5d6a8546215e9344448690dbba6d5677302fcf4674c486bafac45ecad5a0ab5a

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.342642Z digest=sha256:80027595795d7a2a376b615effe644b8cd1778b1f09f0a2ea60ec97c0b76e961

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.344997Z digest=sha256:86b12ee039cfcbb189e877d69ec03614b4312c73041c586d4dbaa0cb4ad04f55

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.347847Z digest=sha256:21411f9ff03b1a8d771dec1a54dc3f2992c9039cfac91d40a28fd59a5c327d27

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.350933Z digest=sha256:86c6559987b7403b9dbb0247c5effd340051210a92211050a9708f20d6ca1cc3

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.353517Z digest=sha256:4af2beb0bdd6780f55ef057fe1e0f948d93463fdb05ebfc72cd8a2eed7de6c36

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.355888Z digest=sha256:1f0d6ccfd42c2b275842272fa5c649d6b83615a4afadcfc003a44d6265e72839

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.358554Z digest=sha256:7a0e6332376ab64055f462c8d5281ac5e078b860e2b16556a59f29d8f095452c

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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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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.363760Z digest=sha256:50a37c3953b2cbabf200d17f9b9cc02b7844ab57131a392d8bf4dd91c53316d1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.366231Z digest=sha256:ca21b7a9b47b573a6be13c9ee76018c31cf9922b8d5fa935eb0647f13ef4d666

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:37:07.369201Z digest=sha256:c9b73dde95ca9fe022c3e1f264b2ba422c197d13ed51f268ed98ca4e7c0229bf

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.