Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2509.21842.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T20:41:09.704926Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T11:34:38.000979Z
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 650afbeb-90be-4ce9-bc97-937ab106e1df · inbound
Beyond Itinerary Planning-A Real-World Benchmark for Multi-Turn and Tool-Using Travel Tasks cites this paper.
Beyond Itinerary Planning-A Real-World Benchmark for Multi-Turn and Tool-Using Travel Tasks DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-15T02:21:03.429999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 89dbedfb-fe55-4245-9ac3-18ff7426f6ea · inbound
MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios cites this paper.
MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:41:09.704926Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bea62c6b-ab9a-4878-a71f-109e99f7f7f7 · inbound
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling cites this paper.
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-15T02:21:03.429999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90a7747f-1c30-434e-8ef0-dd2060aba556 · inbound
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling cites this paper.
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-15T02:21:03.429999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 26916753-9d62-4021-af8f-426025ae5828 · inbound
Revisiting the Travel Planning Capabilities of Large Language Models cites this paper.
Revisiting the Travel Planning Capabilities of Large Language Models DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-15T02:21:03.429999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1b6f4e00-510e-460a-9162-31bf63512c07 · inbound
GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning cites this paper.
GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-15T02:21:03.429999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.