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Paper Citation Record · LEDGER

Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.11547.

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

pith.paper-citation-record.v1
2409.11547 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:14:45.410653Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9059f96f-feda-4308-95d3-ef846cc28a1b · inbound

Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI cites this paper.

Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T17:14:45.410653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:14:45.410653Z digest=sha256:1b1d04a1146ca3a365c7fad84603f1299e035e91e5655458f5662ab5e06d3e97

Observation 7d2d25e6-c6ae-4fd2-8350-07c97cdd1dce · inbound

ArgCMV: An Argument Summarization Benchmark for the LLM-era cites this paper.

ArgCMV: An Argument Summarization Benchmark for the LLM-era Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T15:43:39.933753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:43:39.933753Z digest=sha256:d785c20dbb9bd2e910eef448889a06567df7aaa53e182124a968cc6866ba0c29

Observation 5e89a38a-0222-4981-888b-19714fe0f242 · inbound

Can Small GenAI Language Models Rival Large Language Models in Understanding Application Behavior? cites this paper.

Can Small GenAI Language Models Rival Large Language Models in Understanding Application Behavior? Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T22:04:10.444455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:04:10.444455Z digest=sha256:c47a8d14dd52f22a0620e6eaab3b0f2886ae5bca14791f06545077c7697aabcd

Observation a8aa0871-9c3d-410e-a46c-d294c6f9b376 · inbound

High-quality generation of dynamic game content via small language models: A proof of concept cites this paper.

High-quality generation of dynamic game content via small language models: A proof of concept Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:34:12.792065Z

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=2026-05-21T14:32:58.163849Z digest=sha256:a0a56d9904c53d900994caae4372ef75842314f9d7ae223027dba6b7e3cbc2ee

Observation 57fccb56-93cc-4364-a3c1-9c62c8c7f5ef · inbound

From Texts to Scores: Tracing the Emergence of Essay Quality Representations in Large Language Models cites this paper.

From Texts to Scores: Tracing the Emergence of Essay Quality Representations in Large Language Models Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:34.259777Z

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=arxiv_source observed=2026-06-26T17:17:23.250463Z digest=sha256:a05a9c5363d3d98241c1ce26c81b99753ce0d11ef7f8b7f0cff1d8210835301a

Observation 3a44ae7d-f9cb-4a37-aad6-c99aee99a3c1 · inbound

AI Fiction in the Wild cites this paper.

AI Fiction in the Wild Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs

Reference 149

Resolution
verified exact
arxiv_id, observed 2026-06-26T09:09:15.758882Z

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=arxiv_source observed=2026-06-26T09:05:54.690083Z digest=sha256:e193b1ca46922c3e119763c77a7d86fa4a99d5279964f93271fda7d3f52eb665