Pith. sign in

Paper Citation Record · LEDGER

Towards Enhanced Immersion and Agency for LLM-based Interactive Drama

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.17878.

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

pith.paper-citation-record.v1
2502.17878 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:11:23.939009Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:02:27.350247Z

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 81616d3a-a59e-4cff-857b-bc68af303c47 · inbound

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles cites this paper.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Towards Enhanced Immersion and Agency for LLM-based Interactive Drama

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:11:23.939009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:11:23.939009Z digest=sha256:2971dea01fac628d1f607986a69a153663133745c9aa8304d23009b28ebd0ab2

Observation 5a833151-3a8c-444a-bd4c-2785aed6747d · inbound

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards cites this paper.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Towards Enhanced Immersion and Agency for LLM-based Interactive Drama

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:02:27.357082Z

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.

source=arxiv_source observed=2026-08-06T15:02:27.064815Z digest=sha256:0158ba095997775186e31ee83794fffda62b2ca019839b332583c573591a2e73