Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.12761.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:15.551114Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c1d2a1f7-7b1b-4e96-9903-3565b4692454 · inbound
Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning cites this paper.
Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:54:15.551114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b58a0e3-bcd3-40f6-8c3f-aec9848ed716 · inbound
Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models cites this paper.
Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning
Reference 232
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:11:13.373985Z
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.