Pith. sign in

Paper Citation Record · LEDGER

Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.18932.

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

pith.paper-citation-record.v1
2407.18932 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:31.749189Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:19.547462Z

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 c904490e-8610-4c91-ab8e-2824736b958d · inbound

Large language model as user daily behavior data generator: balancing population diversity and individual personality cites this paper.

Large language model as user daily behavior data generator: balancing population diversity and individual personality Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:31.749189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:49:31.749189Z digest=sha256:44ba0d50eaffcb2658521b51804a433e55876f00f5983b72cdbb88f9a087b9c6

Observation a3e2bbda-9ab8-4f4d-9591-9eda9a0d4cbb · inbound

Aligning LLM with human travel choices: a persona-based embedding learning approach cites this paper.

Aligning LLM with human travel choices: a persona-based embedding learning approach Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:28.812433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:26:28.812433Z digest=sha256:b70a828a6d9dc33ca2fa449d0431e908113387b1109f2d4c64169f4553e7cd2a

Observation be7809ba-b1de-40da-ad0e-f6ff38ef4080 · inbound

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives cites this paper.

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:04.522334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:04.522334Z digest=sha256:2acc3ac91de3ee5dbcbfa9cbe140ca561445d2ef892ffa8e64739d9663c74bb2

Observation a6dfc2f5-82bf-4bc4-8ae4-46d5fe271446 · inbound

MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models cites this paper.

MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T22:24:25.576057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:24:25.576057Z digest=sha256:0c0898ffe3a74e395976aca88047d7305cfd0ad200c89ca7d5d9a56fda9f901e

Observation 61750340-536f-415b-9e54-483d53cd51ac · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:10.897707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:10.897707Z digest=sha256:ea1f49e7f3ee53701fc428e0f09121d027f6054410e57feaa7796246bfaa7a42

Observation e932be5c-ff57-4224-b012-bd3a1b902254 · inbound

Involution game with migration and spatial heterogeneity of social resources cites this paper.

Involution game with migration and spatial heterogeneity of social resources Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T22:15:43.870914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T22:15:43.870914Z digest=sha256:341b7b5bdd5fd9168a722b40068a6f6aafede8cd023bc6ce2566485e421d860f

Observation 21460c20-3058-4828-8a08-7b8c9c15bc96 · inbound

MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation cites this paper.

MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:19.551233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T14:47:16.208290Z digest=sha256:87ed95fb2f59a42ea1d95f232f804f8a9b5d44b4c75f8bb728b6e329ee2449a0

Observation f2711359-9162-466b-ba3e-ad5f733f12e2 · inbound

GenWorld: Empirically Grounded Urban Simulation Infrastructure for Scalable LLM-Agent Studies cites this paper.

GenWorld: Empirically Grounded Urban Simulation Infrastructure for Scalable LLM-Agent Studies Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:55:51.547429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T02:56:06.000871Z digest=sha256:275ddfd615f96738911e531e9c298c92b3c8d348325e8a0132d33e9350c31dc4

Observation a1e677b2-bd98-4502-a700-d364d1b8e493 · inbound

Think2Go: Generative Next POI Recommendation with LLM Reasoning cites this paper.

Think2Go: Generative Next POI Recommendation with LLM Reasoning Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T15:47:59.065419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:47:59.065419Z digest=sha256:d61efc9f748e5652fc4dd637ddfc950786a94920c59f5779a3bd20afaae60019