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Paper Citation Record · LEDGER

Convolutional Social Pooling for Vehicle Trajectory Prediction

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1805.06771.

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

pith.paper-citation-record.v1
1805.06771 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T19:07:33.298343Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T19:09:50.270276Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b706a873-457b-494c-82c0-a56c34eda26b · inbound

RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs cites this paper.

RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs Convolutional Social Pooling for Vehicle Trajectory Prediction

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-24T19:09:50.273194Z

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=2026-05-24T19:07:33.298343Z digest=sha256:b5b1076a86fe6a48e54830d242131cade42dcb24467c4434e6e8e4567bc49bf6

Observation e3715036-6b42-4283-9f0b-271ea37eb589 · inbound

Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors cites this paper.

Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors Convolutional Social Pooling for Vehicle Trajectory Prediction

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-24T17:09:43.649689Z

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=2026-05-24T17:07:34.083712Z digest=sha256:3acc30f372365d6cb2334afdae1fa56b49dc63a09bf2eaba542aef6071b7a706

Observation bf00520b-5a16-4d12-b284-58a0ab30f66c · inbound

Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction cites this paper.

Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction Convolutional Social Pooling for Vehicle Trajectory Prediction

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-24T17:14:43.693335Z

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=2026-05-24T17:13:51.652292Z digest=sha256:ac12a9729dfb7db0e3aa23c91f0ce49d9cf62059b4140b89587082d608dc510a