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Paper Citation Record · LEDGER

DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.15029.

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

pith.paper-citation-record.v1
2503.15029 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:49.270432Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:23:10.766551Z

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 f5b4e1ca-042a-4c0d-b898-59a36eb9d121 · inbound

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation cites this paper.

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:49.270432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:49.270432Z digest=sha256:4c419a4c7ba7e1e903a3bbd6843d38c9f2b9a13ad71d7b65ca0cd426195a8d71

Observation 855ae0ae-e745-4361-9b32-81cdfbf2015b · inbound

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving cites this paper.

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T11:30:39.748477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:30:39.748477Z digest=sha256:ce8cb35cab1a3f9de49ba37e59c2f1ee9e23467b7cff66b4552cc155c33a925e

Observation f71b9ed8-5150-4d93-af9c-a06bfd11aecc · inbound

Pulse Breathing Dynamics in a Mode-Locked Laser measured via SHG autocorrelation cites this paper.

Pulse Breathing Dynamics in a Mode-Locked Laser measured via SHG autocorrelation DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-13T18:29:56.718560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T18:29:56.718560Z digest=sha256:16edaeb4b722a6a7b8d5c66da02baf7d7ed69e27e830f9586f2a77c376fece2a

Observation 06a0a65b-4427-4d33-b500-7141e07f63e6 · inbound

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning cites this paper.

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:23:10.768062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T09:19:06.011699Z digest=sha256:3f86d58743eaccdbe4d344bd0f4d3c3ceded26974b34b5a693860971fc58631a