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Paper Citation Record · LEDGER

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2505.24390.

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

pith.paper-citation-record.v1
2505.24390 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:28:10.699402Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1e89a18-30f9-4b7c-8068-e389ff20a2be · outbound

This paper cites First, the historical trajectory and noised future trajectory are encoded into a history embedding and trajectory embedding, respectively.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation First, the historical trajectory and noised future trajectory are encoded into a history embedding and trajectory embedding, respectively

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:28:12.867254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:09.633971Z digest=sha256:17fa945d2128025dec3ea375780273b39cb532a8adccab20ae5b839ad7858e0d

Observation 44a95f0e-c0c1-45db-a4e0-83127d21cc4d · outbound

This paper cites Time position embeddings are added to provide context, and the refined representation passes through eight layers of self-attention.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Time position embeddings are added to provide context, and the refined representation passes through eight layers of self-attention

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:28:12.715911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:09.741212Z digest=sha256:98cf00050b36188ad660c9f1a6795432f0732965b2baba52396ac9fede98dda9

Observation 2463f2a3-a195-4d2e-b981-4edcdd868e85 · outbound

This paper cites A trajectory decoder predicts trajectory noise, which is progressively used to correct the noised future trajectory by a denoising module over multiple diffusion steps.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation A trajectory decoder predicts trajectory noise, which is progressively used to correct the noised future trajectory by a denoising module over multiple diffusion steps

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:28:12.575986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:09.828993Z digest=sha256:e71b286f240a518073fd4114294658f970613ea7a36607466b76370b54e6a678

Observation b955f1ab-5cd5-42d2-888c-058bab4265cd · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:12.445411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:09.908185Z digest=sha256:0b041d17a18dd3d3047dadc1ce1bd7431f9a2710566204016843498fc4a4ff7b

Observation 6dac6147-f2f7-422f-871a-85cd9bec8906 · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:12.310774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:09.983290Z digest=sha256:947d2f4813e20a653f5ebe9a0fb7830f6f0456f8b37a7af48224330f047bb83d

Observation a1d305f9-160b-4de1-a74f-542fee830e67 · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:12.155160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:10.070976Z digest=sha256:7a9fdf90856eccf37e4acd02847a81f776e9626d7b0b06c5906d2ef7fc61a4f3

Observation 0789e989-3d9a-425e-97f6-98d53142f8c4 · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:11.988775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:10.184307Z digest=sha256:727330c35e9f0dae9be6dafac506efd245a96bb6160e9233c2309fcd1f89d2b4

Observation fa95593b-2f32-45b6-9c4e-0f1368f15eac · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:11.759892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:10.302324Z digest=sha256:1c97a12ffdd625af37aa5947272ff0d88fc2c7dc735fd21975648035e2c51dfa

Observation eaa42179-365e-4c5f-a8ca-ba92075bc260 · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:11.584630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:10.372733Z digest=sha256:a6004e38f47d9ad61e3c5c93b8f228ea5e7bdb5a3d0b3ab812377b026632e22e

Observation 2ebd7b03-95ce-4f79-80d1-3b33eea9ab64 · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:11.418179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:10.424330Z digest=sha256:334e3487b86462de9dc59703448654c0f88b9cdc94622d6e6c3fab06e756d888

Observation 897cae46-3eae-4114-8504-87c19903b20c · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:11.300803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:10.489134Z digest=sha256:e326ff9ea7966c5b20246a7ba3c47471199607764e283e04a8976752cc7d0f22

Observation ae72bd9b-5dbf-4554-86a3-9ae56ef26601 · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:11.151632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:10.554695Z digest=sha256:d582e6f6543961774b0ccea032ece81dcdce3e85ee5d64e72f0a963105a41596

Observation 8efe0adf-609b-4fd7-9b59-675c253fc489 · outbound

This paper cites an unresolved cited work.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:28:10.968250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:10.617595Z digest=sha256:25f364b21cd00e2cf86271467d343b1d4bea45db3e6e4b89c3d7bf454891f683

Observation 4c4de41f-e753-4de2-96c5-774c4aa7ce78 · outbound

This paper cites Table 4:Closed-loop metric of the PDM score.

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Table 4:Closed-loop metric of the PDM score

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:28:10.817023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:28:10.699402Z digest=sha256:dddb5a74e2a2d7e677e85b896f4461f2948b98eaddc91c55b8c9ddacf256d744

Pith citing papers

No inbound Pith citation observations are available.