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Paper Citation Record · LEDGER

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2507.18196.

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

pith.paper-citation-record.v1
2507.18196 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:45:11.303820Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:53:01.735375Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:18:32.408759Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d40dfa34-711c-4f7a-81c7-f859becd5b95 · outbound

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

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 1

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no resolver link, observed 2026-08-06T14:45:11.213960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 928829c0-ad3d-4bf8-bf20-d62bb25560a2 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization nuscenes: A multimodal dataset for autonomous driving,

Reference 2

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no resolver link, observed 2026-08-06T14:45:11.219043Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.219043Z digest=sha256:643331cafc6e6299352f2dc25d1f45402e1c6aabc3208998d343a2b68b9de185

Observation 2da8f40d-72f7-4dd9-b98c-6680c95b50fe · outbound

This paper cites Wayformer: Motion forecasting via simple & efficient attention networks,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Wayformer: Motion forecasting via simple & efficient attention networks,

Reference 3

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raw_fallback, observed 2026-08-06T14:45:11.623287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation dc741ee3-c491-41a3-b374-2a13a847e7a1 · outbound

This paper cites Query-centric trajectory prediction,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Query-centric trajectory prediction,

Reference 4

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raw_fallback, observed 2026-08-06T14:45:11.611661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9bad0be0-404e-468f-85e3-2daf4efbe217 · outbound

This paper cites Unitraj: A unified framework for scalable vehicle trajectory prediction,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Unitraj: A unified framework for scalable vehicle trajectory prediction,

Reference 5

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raw_fallback, observed 2026-08-06T14:45:11.600567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8df3d7b7-0c28-40ca-b57a-30b837d5b411 · outbound

This paper cites Motion transformer with global intention localization and local movement refinement,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Motion transformer with global intention localization and local movement refinement,

Reference 6

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raw_fallback, observed 2026-08-06T14:45:11.589301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e1343fbc-b896-4486-811e-ace4356752ea · outbound

This paper cites HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

Reference 7

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local_arxiv, observed 2026-08-06T14:45:11.428937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1b44c174-14c8-498e-9665-951366b087ba · outbound

This paper cites Gorela: Go relative for viewpoint-invariant motion forecasting,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Gorela: Go relative for viewpoint-invariant motion forecasting,

Reference 8

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raw_fallback, observed 2026-08-06T14:45:11.579205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:45:11.241956Z digest=sha256:c4227eda7f8033ae9f4208f1e8ea56e8e47ca50af1b36271516a49a8589b10bf

Observation 54e4164d-27bb-4264-ac6f-9522bf4411a3 · outbound

This paper cites Holistic graph- based motion prediction,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Holistic graph- based motion prediction,

Reference 9

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raw_fallback, observed 2026-08-06T14:45:11.568608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:45:11.245096Z digest=sha256:3e7e1df46f2a9a2483e25525b9671aaf3e8feb1f1a24f1b4441098fbdc9cdae0

Observation 80cba09c-2a8a-4640-ba01-4fd4ea050dbc · outbound

This paper cites Covernet: Multimodal behavior prediction using trajectory sets,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Covernet: Multimodal behavior prediction using trajectory sets,

Reference 10

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raw_fallback, observed 2026-08-06T14:45:11.557933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 74b2aea6-287a-4aa3-af75-c07148ba8a43 · outbound

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

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Learning lane graph representations for motion forecasting,

Reference 11

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raw_fallback, observed 2026-08-06T14:45:11.546831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b49f2e75-da4d-4f04-9ed2-b7759c99cb11 · outbound

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

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Vectornet: Encoding hd maps and agent dynamics from vectorized representation,

Reference 12

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raw_fallback, observed 2026-08-06T14:45:11.536012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 039d4d62-38ca-4d51-83a6-d52ae2df0bc1 · outbound

This paper cites Vehicle trajectory prediction works, but not everywhere,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Vehicle trajectory prediction works, but not everywhere,

Reference 13

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raw_fallback, observed 2026-08-06T14:45:11.525106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 40bf0c42-b8df-4aad-b3e3-f16aeafc0a66 · outbound

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

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Tnt: Target-driven trajectory prediction,

Reference 14

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raw_fallback, observed 2026-08-06T14:45:11.512548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4c78390d-9411-448f-b92b-dd85952e5a9d · outbound

This paper cites Gohome: Graph-oriented heatmap output for future motion estimation,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Gohome: Graph-oriented heatmap output for future motion estimation,

Reference 15

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raw_fallback, observed 2026-08-06T14:45:11.500206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 47d68429-ab3b-42c5-8017-7e56e65e7dcc · outbound

This paper cites Densetnt: End-to-end trajectory prediction from dense goal sets,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Densetnt: End-to-end trajectory prediction from dense goal sets,

Reference 16

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raw_fallback, observed 2026-08-06T14:45:11.489008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:45:11.272435Z digest=sha256:31c3f9cbd095a9618b055681e52dea5e2dee68726f5abf7c01c5d402129744b7

Observation c7855162-c93f-4456-90e2-2ad6e36a578f · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.275979Z digest=sha256:ebda2ed13db72ac04c0b288741d8d0ceac40c176433d7c8a01c2eb72c2ce7806

Observation 4fd86341-6ac1-433b-b04b-4b6edcbb932c · outbound

This paper cites Attention is all you need,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Attention is all you need,

Reference 18

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raw_fallback, observed 2026-08-06T14:45:11.477299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:45:11.279536Z digest=sha256:7364c86aa37b90238de9beb566cff9b285f57b1bdbbdd6594b1021cc38acf690

Observation 4192631b-66a0-49c0-b113-569006aef73b · outbound

This paper cites Focal Loss for Dense Object Detection.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Focal Loss for Dense Object Detection

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.282843Z digest=sha256:449cdf8533ca3a96d2d42a396c95526fe843bd2a05e3bb723165cc6ad9935094

Observation ceadbf23-476a-47ab-8743-3163ce667028 · outbound

This paper cites Decoupled Weight Decay Regularization.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Decoupled Weight Decay Regularization

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.286804Z digest=sha256:8a4cca6b1f47421943d3c2af85acc7d9be3edd2bfbfd3be3055b2a96efb48171

Observation 67ab9190-5dd7-4472-ac09-f12c74e4c115 · outbound

This paper cites Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

Reference 21

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no resolver link, observed 2026-08-06T14:45:11.290268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.290268Z digest=sha256:87bec4e7bf4c42d65cbf1048e759bfa36f6a7f7210722fadfeb7abf5275bfea0

Observation e677dcc8-3b50-4bdd-b3ae-b948f5daaa17 · outbound

This paper cites Multimodal trajectory prediction conditioned on lane-graph traversals,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Multimodal trajectory prediction conditioned on lane-graph traversals,

Reference 22

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raw_fallback, observed 2026-08-06T14:45:11.466438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8f5f35a6-b031-4bb7-b324-fed8a0ba147d · outbound

This paper cites Lapred: Lane-aware prediction of multi-modal future trajectories of dynamic agents,.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Lapred: Lane-aware prediction of multi-modal future trajectories of dynamic agents,

Reference 23

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raw_fallback, observed 2026-08-06T14:45:11.454623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:45:11.297004Z digest=sha256:d886b30a21778180abe1c4ad3c099cfacc0e357833d19af70374004ee88c6f36

Observation 37df72f5-4b8c-4271-a94e-f1ac0646c2db · outbound

This paper cites THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling

Reference 24

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no resolver link, observed 2026-08-06T14:45:11.300211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.300211Z digest=sha256:9a0ba63e1a0337ba179e389b990fd975e1078e5714e917f63f5bec237b424c1c

Observation d1e52dd3-2599-4074-a11b-679c081fd4ef · outbound

This paper cites Scene Transformer: A unified architecture for predicting multiple agent trajectories.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 25

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no resolver link, observed 2026-08-06T14:45:11.303820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.303820Z digest=sha256:add2ad274e1c4930ef94e799447a1b7a59dc08972b337d87bca4285273ba41ff

Observation 0138e69d-90b7-4357-938c-7ec66b610c47 · outbound

This paper cites GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation

Reference 2021

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metadata mismatch
local_arxiv, observed 2026-08-06T14:45:11.409133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:45:11.268746Z digest=sha256:1ddc28f20b243ba580405c1a195d80f0328d41edf18e2a450e2a3c45e83bf345

Pith citing papers

Observation 17106c89-dc0d-4340-9d02-558c6f649ed0 · inbound

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications cites this paper.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Goal-based Trajectory Prediction for improved Cross-Dataset Generalization

Reference 26

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verified exact
arxiv_id, observed 2026-05-10T09:18:32.411157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T07:53:01.735375Z digest=sha256:e5013ec8ba29df250a9f3454613dce8f2a79e8023a98cebff952be46ea653f44