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Paper Citation Record · LEDGER

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization

As of 9 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 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.219043Z digest=sha256:b7660291e258fa6723ce72067e0b154f1618c48d3c8dcddf7a2ddc248ac5f227

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.226482Z digest=sha256:ad95505a28e45ffe0be1e8f1a08f45d5f9b1fd4bff70b62bbd184a962caf0e17

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.230478Z digest=sha256:6e186c9dfa2ce28f900ce2ef85ba79e50f85dcd5ce479a5c47943d0bf088b536

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.234266Z digest=sha256:efa3b7a7a913cbb3839095b82715d291b2e877c12abb29faf6c2ea41adf8114e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.238220Z digest=sha256:be5aa63a4b4d775fa7ee4feb35a2ad317a8bb0315046deadb905e4d260cf1bf7

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.245096Z digest=sha256:78577bf944781be9fc4cc51e7427a3d57fadf78ca2f7d9c9e08ab713bccde07c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.248371Z digest=sha256:b843ac601ea486baa7a7cc5febdf036fc70a8060e507f9c48ab5b2fb23f441c0

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.258865Z digest=sha256:15f8b7a9468139cbcecb8906542e6d8dcf0200c94c59afc317a74f13bc11dfdd

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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.262140Z digest=sha256:57a7eebf663f84f98d2e49d6a47a09fd357d695ce438c8bffbad559aed9678eb

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.272435Z digest=sha256:098a3ace0d5b28798f4c5d120d607018330c1e714add7e5b9d80d1c2cdf794a9

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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no resolver link, observed 2026-08-06T14:45:11.275979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.275979Z digest=sha256:d0254def682718d73f9be189b59c6d75f0bfa26ca93b7fbe5459a977a1976161

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.279536Z digest=sha256:9a69722086adbd39e9191595d2276e5fcd5661a9c78368c55322984ba83a5553

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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no resolver link, observed 2026-08-06T14:45:11.282843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.282843Z digest=sha256:a7cbd7042d69a5b30ea540a48f0369595aab4b15e8aa289ee433bedb41d0647b

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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no resolver link, observed 2026-08-06T14:45:11.286804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:11.286804Z digest=sha256:4770279c9b9fe85ed2e1a4da1f791e05f1baac9e95aaf24927346c02032995d3

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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unresolved
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:a083a7847a459a0a75c2c82b5d4119e4aedfff9fa76cbf0234a6164f61a2ee4e

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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.293554Z digest=sha256:2551b824af71ac7c604a2f3364cd2d5311f97680113a6f719982bd13cf2a1880

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.297004Z digest=sha256:03082da1c9c300542702f91cc21f11684741cb90c86e2f9ec6ae50323c01aec6

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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unresolved
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=sha256:894ea2482db69e406c25876d844189dc8da72eb43eee9ed79d878fc595ae6870

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:fa7c5e0dce09cff670b01bee1406236d45ecf3013e27a02082468a0f8840447b

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:45:11.268746Z digest=sha256:6c61a9c0386827b3321e7c1a87b907791ecacc431bde7450abecffeffa50705a

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T07:53:01.735375Z digest=sha256:b39fb2acb7bc61153a62a3885a8100296c203c31cd24fe334619dad56934a13e