Paper Citation Record · LEDGER

Echoes in AI: Quantifying lack of plot diversity in LLM outputs

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 5 inbound Pith citation observations for arXiv:2501.00273.

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

pith.paper-citation-record.v1
2501.00273 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:58:35.660319Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:58:34.731642Z

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

36 of 36 outbound references displayed

verified exact0
verified fuzzy12
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 9e2976b3-3cad-4b03-82e4-bdb892cad32c · outbound

This paper cites Echoes in AI: Quantifying lack of plot diversity in LLM outputs.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Echoes in AI: Quantifying lack of plot diversity in LLM outputs

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:58:34.731642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f94dcf2a-6c54-47ef-862a-1c3879dd0351 · outbound

This paper cites of its own kind,.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs of its own kind,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:37.310492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3763a201-a282-456c-adcd-d29df99d4f19 · outbound

This paper cites alterna- tive continuations.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs alterna- tive continuations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:58:34.890976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5d4a9f-745e-415c-831b-54b761b830e0 · outbound

This paper cites Datasets.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Datasets

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:37.254852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 269c8030-58a7-4102-8a61-861914473b64 · outbound

This paper cites LLMs We first compare the average Sui Generis scores of story segments produced by humans versus LLMs (including GPT-4 and LLaMA-3).

Echoes in AI: Quantifying lack of plot diversity in LLM outputs LLMs We first compare the average Sui Generis scores of story segments produced by humans versus LLMs (including GPT-4 and LLaMA-3)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:58:34.900726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b050d893-d603-4686-a6ca-5b6bdc9250e7 · outbound

This paper cites We conduct a human evaluation in which we invite four human judges (who are fluent in English) to judge 20 randomly sampled pairs of plot segments.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs We conduct a human evaluation in which we invite four human judges (who are fluent in English) to judge 20 randomly sampled pairs of plot segments

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:37.207703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 38836a52-8ae8-46b2-a187-c53f06b1fdbb · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:37.194022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2811a816-e693-454e-be05-521b5a58b1b6 · outbound

This paper cites Our experiments on 100 LLM- versus human-written stories demonstrated the lack of plot-level diversity in LLM-generated stories.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Our experiments on 100 LLM- versus human-written stories demonstrated the lack of plot-level diversity in LLM-generated stories

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:37.126103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 229d7fa2-e306-42db-ae89-aa095d0a850e · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:37.080739Z

Source-reported events for the cited work

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Observation 9009862f-cd4d-44b6-9270-45b597f96334 · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:37.069005Z

Source-reported events for the cited work

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Observation 9f37384a-613c-4dca-ab5c-df345c144150 · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:37.057632Z

Source-reported events for the cited work

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Observation c2c3a96b-c2ae-4279-b246-579190e3c632 · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation 73061e5f-ef85-497e-abb4-91e2b2773602 · outbound

This paper cites Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Reference 13

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Source-reported events for the cited work

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Observation ec4489ed-befb-4774-b32a-dc823881690f · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation 082ce7b1-a9cc-4416-ad57-592ba72d2bcf · outbound

This paper cites (Association for Computing Machinery, New Y ork, NY , USA), (2024).

Echoes in AI: Quantifying lack of plot diversity in LLM outputs (Association for Computing Machinery, New Y ork, NY , USA), (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:36.964892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bd29e811-4b1b-40d0-86c3-b9c8e2ae40dc · outbound

This paper cites The Verge (2023).

Echoes in AI: Quantifying lack of plot diversity in LLM outputs The Verge (2023)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:36.926859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ea8a6da-5464-4166-8073-41b414ed747a · outbound

This paper cites The New Y ork Times(2023).

Echoes in AI: Quantifying lack of plot diversity in LLM outputs The New Y ork Times(2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:36.788621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d35749d1-266b-4c80-af9a-768bd286af2e · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:36.777620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aee829cc-d657-4c5b-a167-1088d0e4dc87 · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:36.734501Z

Source-reported events for the cited work

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Observation 8c5b8d44-47bc-4508-8983-4a4d046b286a · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation bb1f11cd-4462-458c-8382-74563a53d32e · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:36.640848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 51df5f4f-16f0-4e37-b741-5e0058c42283 · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:36.542014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5c3f3c41-d430-47fe-8a19-79136dd8184e · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:36.481635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f0bd0a1-91d8-4ade-bb6a-adc1cc7b03b5 · outbound

This paper cites (Association for Computing Machinery, New Y ork, NY , USA), p.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs (Association for Computing Machinery, New Y ork, NY , USA), p

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:36.470056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 87cb2949-4dca-45be-9b40-cf7d386c118d · outbound

This paper cites T ransactions Assoc.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs T ransactions Assoc

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:36.434459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef3b8821-bf02-4ef0-92fe-dac645b86a0f · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:36.304823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 37a056a5-83a7-4bc6-a62e-62ee3d6d648b · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c391bc6b-85eb-47a7-96bb-2368dee7f8d9 · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0ee792c-d73e-44b8-89f8-8db99f6dac1d · outbound

This paper cites I Gurevych, Y Miyao.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs I Gurevych, Y Miyao

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:36.169938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6822582-8904-4b58-b872-03eda8f366e4 · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:36.116777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22ef1fa7-3b66-4ce0-8546-83fee50a450d · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:36.102166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7e2d622-be9f-47ac-a268-810ab43c5e6a · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:35.954198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 455713cb-a632-4a3a-8fdb-c8ca45b625cf · outbound

This paper cites The 41st Int.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs The 41st Int

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:35.888294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da00ee0b-f7bb-428f-b3b0-3a45ac5b1547 · outbound

This paper cites an unresolved cited work.

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:58:35.875041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b01557d-d2b0-4edd-bcc8-f4bcbe23331e · outbound

This paper cites Futures 160, 103383 (2024).

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Futures 160, 103383 (2024)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:58:35.862429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3d1072a-b2be-4042-9ad8-52743d1b176e · outbound

This paper cites Github (2025).

Echoes in AI: Quantifying lack of plot diversity in LLM outputs Github (2025)

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:58:35.660319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9e2976b3-3cad-4b03-82e4-bdb892cad32c · inbound