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Paper Citation Record · LEDGER

Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2001.00735.

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

pith.paper-citation-record.v1
2001.00735 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:44:52.018834Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:55:03.478451Z

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 ed500902-2ee0-4e4d-8073-8d27af2bd3d1 · inbound

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving cites this paper.

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T14:44:52.018834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:44:52.018834Z digest=sha256:0f7a009fc58e5e396112c0c83a6ed46c6fa4ee1564a075f6641ae2eddda4b3af

Observation bd4c7245-7456-4855-bff7-a387649b2ecb · inbound

DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles cites this paper.

DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T23:17:12.184676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:17:12.184676Z digest=sha256:91d975f22c00dc839beea427a0c32c32a9db30a7e41a2f74a104f327972079c8

Observation 1f6aed80-55ba-4871-8285-b71807c2aed6 · inbound

Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement Learning cites this paper.

Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement Learning Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T20:55:50.189162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:55:50.189162Z digest=sha256:433d0d0fe79fba9d94f6a7f0c0e4901951b11250b7b8a0a43adbbd1a85824b7f

Observation 4c281ccf-2928-48c5-954b-562cb5d5e09c · inbound

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction cites this paper.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T22:40:10.132113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:10.132113Z digest=sha256:0ca6a11ccc2539bb686f7d5d0089d847ba85f96747320975b91f6d7fdcc91367

Observation 7999dc14-acac-4ebc-b548-ac34f0b1c62d · inbound

Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models cites this paper.

Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:51:45.891114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:51:45.891114Z digest=sha256:a8fbbb8263840496d6bc712e3f0a84dd2a35cebe84ec471526be64a4386f4158

Observation c1852080-d937-4a83-b52e-d50c5225b543 · inbound

AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction cites this paper.

AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:48:35.322578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:48:35.322578Z digest=sha256:1111a005e16f0571ecbd20334a375b58da1b0f2c09e8f10d3ca5b96ce81026ce

Observation a8a7ad32-c159-415e-b1a7-cad0d9905ba3 · inbound

Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics cites this paper.

Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T16:59:54.767777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:59:54.767777Z digest=sha256:42322f939b983dbc0d94c0d2db21048f229a9eb653ef0c63ae5327173d99912e

Observation c9db8663-776e-4d26-a35f-ef8908f73f56 · inbound

DeMo++: Motion Decoupling for Autonomous Driving cites this paper.

DeMo++: Motion Decoupling for Autonomous Driving Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:55:03.489981Z

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=2026-08-06T14:55:03.184671Z digest=sha256:ef97a430fc532f922e640b88327cd37c3ed0450751325db7d23f6ed5a933b19b