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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:47:47.399301Z

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 788a3f31-e108-497b-8a46-bca9372fcb42 · inbound

A Survey on Human-Centric LLMs cites this paper.

A Survey on Human-Centric LLMs Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-12T16:42:08.214597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:42:08.214597Z digest=sha256:049c179267e87b09191dfa9e1c9a68e5193d3370dde56f89d28987e82006bca2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T07:09:43.442736Z digest=sha256:a81a0e0c53eede0fd472f94842d8183490edb54af5a158f9bf99e4bff5289ac1

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=sha256:1031bb06323fd65db7403d8d64561ae4dd286eaebee4262e607f173bf977fa05

Observation 55957dea-3227-487e-8bf3-fa23a24fad94 · inbound

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization cites this paper.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:47.399301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:47:47.399301Z digest=sha256:fab66ed5737b6899aeac26098886d35dd27771f87b19425f344fd3a9e00c0cd3

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=sha256:024653a9c1d047711d8bdf89cebe92876578579f3813e3ddc100a093387ae064

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=sha256:7da057c64716ecec508a6f4ae91f87db0444c260cb5d8765366d8e6edb692559

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=sha256:494a68cd11050f55af3cffb05a82d90a965e757b123e6ec5c4596c52552046a1

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:b55997480972e8f826c0272bec8d74e93d82d6c0a59c03d27aa1c529e9084488

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:dcc6473435d84a9a4f4fadca7f4204d678ccfc563a9d5e16c5a3792d60f5873b

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=sha256:912d4143bd567a4699dfde5ce35a5508eb1f126942339b52e572d912222d0020

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T22:52:05.428745Z digest=sha256:23f9f44c976222a82c29bdf0d06578a605e223ca9efa5d7e43fcdd0cd0ace58e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T18:19:55.849451Z digest=sha256:9d721344973e406356deac49eaff63b0245de014270d53bdf17c17491d18b728

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=sha256:90305e76318d7dfd146c66b0b3d5028a2e1ea44ebe9a6e0348f514ec3ad3515a

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=sha256:79676036f75d9502aa0d58991d67448c5b7e5d47111945d8e415ddb479b6cd16

Observation 19b5b2da-6409-4b04-a9a5-78caee7d4415 · inbound

KNOWPLAN: Knowledge-Driven AI Agents for Smart Degree Pathway Planning cites this paper.

KNOWPLAN: Knowledge-Driven AI Agents for Smart Degree Pathway Planning Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T04:21:51.081496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:21:51.081496Z digest=sha256:55a9a2c88b2a850dbb7347415305ca44f57ba070a9297e3f1f55d414bf9890ba