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Paper Citation Record · LEDGER

Do Massively Pretrained Language Models Make Better Storytellers?

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.10705.

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

pith.paper-citation-record.v1
1909.10705 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:26:56.213066Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T18:26:57.125423Z

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 c86e1b7e-70b0-44c1-84e5-5b4aa4ce6073 · inbound

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing cites this paper.

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing Do Massively Pretrained Language Models Make Better Storytellers?

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:26:57.133668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T18:26:56.213066Z digest=sha256:6427cb4b190afa6fdc9375760244af2a0308a6849c564e25017371844cde10cd

Observation 7d20428d-d12f-4abe-952e-151d1b781437 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders Do Massively Pretrained Language Models Make Better Storytellers?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T01:17:11.741354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:17:11.741354Z digest=sha256:5a7903d5a3366e5afb3aa40c556c2b46bf4ba02aa100e2bdb0f38b1d486073db

Observation 3d0c20f9-a309-427a-b7dc-a643c3db278b · inbound

PlotTwist: A Creative Plot Generation Framework with Small Language Models cites this paper.

PlotTwist: A Creative Plot Generation Framework with Small Language Models Do Massively Pretrained Language Models Make Better Storytellers?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T18:06:40.346401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:06:40.346401Z digest=sha256:b061798d0e3fddce1ad6e52128573cd76fd804a31260091683b094fa28df98d3