Paper Citation Record · LEDGER

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention

As of 15 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2411.12313.

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

pith.paper-citation-record.v1
2411.12313 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:47:05.399342Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

21 of 21 outbound references displayed

verified exact1
verified fuzzy14
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d35127fc-dfab-4127-bb57-6fa026ac97d9 · outbound

This paper cites Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:06.116971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95b892ca-bc7a-4028-a986-1ae4e6c0574b · outbound

This paper cites Predictionnet: Real-time joint proba- bilistic traffic prediction for planning, control, and simulation.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Predictionnet: Real-time joint proba- bilistic traffic prediction for planning, control, and simulation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:06.062661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bc3bc04f-31e0-45ed-8202-1fe5cfce8432 · outbound

This paper cites Auto-Encoding Variational Bayes.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Auto-Encoding Variational Bayes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T17:47:05.275168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41570a26-5def-4f08-87fb-1b1c76e02bb8 · outbound

This paper cites The Do-Calculus Revisited.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention The Do-Calculus Revisited

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T17:47:05.302904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08408fe7-0355-4709-a8c6-199db30b7689 · outbound

This paper cites Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:05.902585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7e1846f8-c418-47b1-91c3-4feeaa14929c · outbound

This paper cites Sentence Embedding Alignment for Lifelong Relation Extraction.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Sentence Embedding Alignment for Lifelong Relation Extraction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T17:47:05.343281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75192894-a672-4274-8a2c-9f73cdabbab9 · outbound

This paper cites Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:47:05.493630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e705ceb-1b4d-42be-89ed-15c1e419bf00 · outbound

This paper cites Long short term memory for driver intent prediction.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Long short term memory for driver intent prediction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:05.818121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d00fff2-fe36-4d82-b19b-3df35941dea8 · outbound

This paper cites eth" task, the task complexity increases significantly, resulting in an ADE of over 1.3 for all models. Additionally, the performance on the previously completed.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention eth" task, the task complexity increases significantly, resulting in an ADE of over 1.3 for all models. Additionally, the performance on the previously completed

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:05.790228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e59a1c7-9c59-4df7-a774-faf3f9118721 · outbound

This paper cites Grip: Graph-based interaction-aware trajectory prediction.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Grip: Graph-based interaction-aware trajectory prediction

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:05.974913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0d2b282c-254c-4b53-936b-65860aecbb11 · outbound

This paper cites Lc-llm: Explainable lane-change intention and trajectory predictions with large language models.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Lc-llm: Explainable lane-change intention and trajectory predictions with large language models

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-12T17:47:05.309021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ba63ea2-8c1f-49be-9c93-82e0014124f6 · outbound

This paper cites It is not the journey but the destination: Endpoint conditioned tra- jectory prediction.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention It is not the journey but the destination: Endpoint conditioned tra- jectory prediction

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:05.951185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86c7a0ae-dcbd-4e24-879d-4b00673a75b8 · outbound

This paper cites Expanding the deployment envelope of behavior prediction via adaptive meta-learning.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Expanding the deployment envelope of behavior prediction via adaptive meta-learning

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:06.088729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6dcb306-4f1c-4364-8ef8-afcca4925262 · outbound

This paper cites Adversarial Autoencoders.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Adversarial Autoencoders

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T17:47:05.289293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7faf3cd1-37c6-424d-8363-753ca902b3fe · outbound

This paper cites Learning social eti- quette: Human trajectory understanding in crowded scenes.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Learning social eti- quette: Human trajectory understanding in crowded scenes

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:05.929482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fe4291b4-d419-4996-94fb-8896ed8e9d89 · outbound

This paper cites Human trajectory prediction via counterfactual analysis.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Human trajectory prediction via counterfactual analysis

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:06.158708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6440e1a3-afe2-4384-b25e-76f77545f77b · outbound

This paper cites Multimodal trajectory predictions for autonomous driving using deep convolutional networks.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Multimodal trajectory predictions for autonomous driving using deep convolutional networks

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:06.134310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2713b113-3b45-448d-bf3c-0d6793a4aeea · outbound

This paper cites Intention- aware long horizon trajectory prediction of surrounding vehicles using dual lstm networks.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Intention- aware long horizon trajectory prediction of surrounding vehicles using dual lstm networks

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:05.882153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cef48e1c-e0de-4a72-92d7-07892e8c9de5 · outbound

This paper cites Multi-head attention based probabilistic vehicle trajectory prediction.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Multi-head attention based probabilistic vehicle trajectory prediction

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:06.018299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 38184011-736c-432a-84ea-0c65686115b8 · outbound

This paper cites Spatio-temporal graph transformer networks for pedestrian trajectory prediction.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Spatio-temporal graph transformer networks for pedestrian trajectory prediction

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:47:05.843008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7ff0af9-2fbc-4bb2-a943-16dde6b50db0 · outbound

This paper cites Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T17:47:05.314732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.