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Paper Citation Record · LEDGER

Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2405.20625.

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

pith.paper-citation-record.v1
2405.20625 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:09:18.726632Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:12:41.562588Z

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 bb40fc1f-b5b4-405a-a2d0-c7f1f590b7e2 · inbound

ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents cites this paper.

ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:12:41.565333Z

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=2026-05-23T07:09:43.442736Z digest=sha256:9cecbc49a3e67ff87167ade567016cc7d348b56e5dbea06d140d5886fbde47ac

Observation f4b4d3ad-d447-4fe1-84d8-52a13fc0f7e3 · inbound

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models cites this paper.

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T12:09:18.726632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:09:18.726632Z digest=sha256:ca1b97cf7c636e0cba50ed471c8fc457b409ac681fe491a215c6d6676183a816

Observation 9c26c8b2-46db-42d2-b8c0-d1d0d2b539b1 · inbound

Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planning cites this paper.

Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planning Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 2004

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:58.023047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:58.023047Z digest=sha256:7c73ebbba59bffa08c9ce905e53526b9e361626f1f2f681966b12ada1893056b

Observation 5f1fdf70-9558-48d4-87cd-03b079fe79db · inbound

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability cites this paper.

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:17.258136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:17.258136Z digest=sha256:f2d2b82538a0aceee21e3fb87085add4f47579cef9adffd97d07a17fe139684e

Observation 22d78f65-41cb-47fa-a945-fc73f167cedf · inbound

Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints cites this paper.

Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:18.358374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:23:18.358374Z digest=sha256:4e4a7ca3996fae4cfe2eba38711e85249e967663e0be0c74b6bfc17094245aba

Observation aaf99bec-f639-4809-92ed-25616ab84a34 · inbound

TripTailor: A Real-World Benchmark for Personalized Travel Planning cites this paper.

TripTailor: A Real-World Benchmark for Personalized Travel Planning Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:40:31.773590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:40:31.773590Z digest=sha256:e950aa6c0e25d5600b55357c75dc33960a7c71b0fd1df6d0d0f71a7e171853d4

Observation b161d047-2c1b-404d-8a62-0ce2e56eafd8 · inbound

RLFactory: A Plug-and-Play Reinforcement Learning Post-Training Framework for LLM Multi-Turn Tool-Use cites this paper.

RLFactory: A Plug-and-Play Reinforcement Learning Post-Training Framework for LLM Multi-Turn Tool-Use Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T13:07:18.374868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:18.374868Z digest=sha256:67c66fcbfce7bc8283798d7550c8b168bb7209a109087a93c8ff09356f988415

Observation 23673b43-ffbf-4893-8ab5-18237573e9fe · inbound

We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism cites this paper.

We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T17:11:10.154711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:11:10.154711Z digest=sha256:12ed29698acb4b667788062c5b7c53a233c447f3c58e08ce60e98a43c053b6aa

Observation aa27454e-9658-428e-ae97-997f73c0b5d3 · inbound

Decoupled Travel Planning with Behavior Forest cites this paper.

Decoupled Travel Planning with Behavior Forest Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:54:16.217270Z

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=2026-05-09T22:52:05.428745Z digest=sha256:68f7ce42ff1c11366bcd6d9503dfc2fc5cd1ce402a4f3dcff5bf221927a2a7f9

Observation b4c91268-fcf6-4f04-b0fe-f515574fb226 · inbound

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning cites this paper.

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:38.933816Z

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=2026-05-08T18:19:55.849451Z digest=sha256:6f78d7f6c3a66fd1194f82b32e03699262d77d279fb12890fc9cafeb34bdf46b

Observation e5c0f493-2668-421c-a015-30baebf010a0 · inbound

Embark Now: User Demand Oriented Framework for Multi-day Urban Travel Itinerary Planning cites this paper.

Embark Now: User Demand Oriented Framework for Multi-day Urban Travel Itinerary Planning Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T10:13:55.891370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T10:13:55.891370Z digest=sha256:d56c38e21f722c8bd2550bdff8da8bb6d8ff2584341ea58d7a0f5a9689eb9319

Observation ce13acdf-33b9-4afa-bd80-db618b87d552 · inbound

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning cites this paper.

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-30T15:14:05.488903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:14:05.488903Z digest=sha256:4742579588b759c5b54d90c669b0e347a03f4e8c164cf7631164ae197648f71d