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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:09.633971Z digest=sha256:071a3a2ab65ff0e0e781a095f17210692068e64e991a6676f505b661b52ffb70

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:09.741212Z digest=sha256:59e50012b1ed3780628bf3092b3db6d2b91f59570754183acdd423ff8f188dcf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:09.828993Z digest=sha256:7448e240a5b72590ea3a686c898483aa85342e685825d89c08d36716f662b4e6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:09.908185Z digest=sha256:cc5c2ccc5ebbafcf298ccd9f175812dd6b079fddce2b7559f5e0cc0e8fdf4baf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:09.983290Z digest=sha256:3f143e99288c48e887544853b9a7bc211ac79d12ae5811f5517f83ffba449a55

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:10.070976Z digest=sha256:12d3bcd0b249f9518d8e242f515e59929ce1f1ff83abe5ad575d20e170fc31c2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:10.184307Z digest=sha256:7505756bee25d5190537c9247dc9f2f0769c8bd497dd16ba6ba9ee6f36335c5b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:10.302324Z digest=sha256:e0df6d29a2703112aabd2f4976c4a8a4ed9b15724d13714399b1c973763a44c9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:10.372733Z digest=sha256:bc01b598afa8145025b141e3031f53d00b6c96fc2e738ba25208cdec83efaaa4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:10.424330Z digest=sha256:15bf99e2b14c84a3e7a518814515b2f4d28505bf7fbc3023cfd487f0e5d6396d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:10.489134Z digest=sha256:8ed0d8161070c3cc35759564d7bb57b64b6fe7d760c6df1a073c4907fe0df8b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:10.554695Z digest=sha256:035b0153c3e3fe17b284ff7a9324c05b32775725b7268308a941af77e76701d8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:10.617595Z digest=sha256:ab7955ddab396e72454c84a869c0d046d3b7e3885e86a60bcc7b557538bfedeb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:28:10.699402Z digest=sha256:2e6d1984f37e8039b7cf5aba5bacba23aa802bdbf541981c7b969506a7844767

Pith citing papers

No inbound Pith citation observations are available.