Paper Citation Record · LEDGER

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories

As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2508.09651.

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

pith.paper-citation-record.v1
2508.09651 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:57:58.193024Z

measured 49 of 49 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:57:56.176420Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:58:00.649850Z

Reference resolution

48 of 48 outbound references displayed

verified exact11
verified fuzzy21
unresolved14
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ed8bfc2-2e31-472e-b4a6-74c734348db7 · outbound

This paper cites This type of bias can Daniel Raffini, Agnese Macori, Tiziana Catarci are with Sapienza Uni- versity of Rome, Italy: E-mail: {raffini, macori, catarci }@diag.uniroma1.it.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories This type of bias can Daniel Raffini, Agnese Macori, Tiziana Catarci are with Sapienza Uni- versity of Rome, Italy: E-mail: {raffini, macori, catarci }@diag.uniroma1.it

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:04.716562Z

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.

Observation ba8c594e-0c96-4f58-aaae-a0b2d5cd44f5 · outbound

This paper cites The extensive use of LLMs for content creation and text generation makes this issue increasingly urgent.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories The extensive use of LLMs for content creation and text generation makes this issue increasingly urgent

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:04.876438Z

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.

Observation 8e5055f6-dd71-48c5-be61-f52760811e9a · outbound

This paper cites This applies to tasks such as summarizing, text analysis, information ex- traction, classification, and answering statements-based questions.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories This applies to tasks such as summarizing, text analysis, information ex- traction, classification, and answering statements-based questions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:04.548450Z

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Observation 5e196d18-bbf6-460b-8ac4-e4709b915eb0 · outbound

This paper cites A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:58:00.706457Z

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Observation e9506273-dd31-4eac-afc4-eb06e4d162b1 · outbound

This paper cites Lys stayed with him, quiet and kind, but her eyes often searched the woods.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Lys stayed with him, quiet and kind, but her eyes often searched the woods

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:04.381239Z

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.

Observation a4ce8f43-6b09-4fab-bba0-fe73aede5afc · outbound

This paper cites He seemed the embodiment of the artistic success she so desperately desired.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories He seemed the embodiment of the artistic success she so desperately desired

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:04.220404Z

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.

Observation 635ee3e4-2704-47be-a65f-114898fb683e · outbound

This paper cites Bias and Fairness in Large Language Models: A Survey.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Bias and Fairness in Large Language Models: A Survey

Reference 7

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Observation a58af5fa-cdbd-41bb-b61a-54466bee3493 · outbound

This paper cites Ulloa, I.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Ulloa, I

Reference 8

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Observation eed498c7-7c95-4642-b8e1-90743f638a14 · outbound

This paper cites an unresolved cited work.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 9

Resolution: verified exact; doi, observed 2026-08-05T20:57:59.272747Z

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.

Observation 10c400cd-c2e0-4ecf-8b6b-0590f5f42d6a · outbound

This paper cites Kotek, R.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Kotek, R

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f6b53e0-15fa-4d11-b947-2a48ff9ed4e3 · outbound

This paper cites Evaluating Gender Bias in Large Language Models.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Evaluating Gender Bias in Large Language Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:58:00.472118Z

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.

Observation e5ce3f38-6ae8-4293-a1d8-2ee01b2fba5f · outbound

This paper cites Gender Biases in LLMs: Higher intelligence in LLM does not necessarily solve gender bias and stereotyping.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Gender Biases in LLMs: Higher intelligence in LLM does not necessarily solve gender bias and stereotyping

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:58:00.331496Z

Source-reported events for the cited work

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Observation d8542819-4d1d-4a1c-8a24-f86fdbfb7e64 · outbound

This paper cites Durmus, D.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Durmus, D

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:04.056008Z

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.

Observation 17dbd7a1-a0cb-4a9f-ab2c-b60b5b6a08f1 · outbound

This paper cites Soundararajan, S.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Soundararajan, S

Reference 14

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Source-reported events for the cited work

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Observation 9f7027d7-2d3b-4f5c-a9c4-7e87ad187de0 · outbound

This paper cites Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics

Reference 15

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Source-reported events for the cited work

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Observation 0fe04d53-9d40-48c7-8479-e814f94fe6d2 · outbound

This paper cites Zayed, G, Mordido, S.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Zayed, G, Mordido, S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:03.691431Z

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.

Observation ad829a4b-a647-4d18-8388-c050ea96e3e4 · outbound

This paper cites A Survey on Fairness in Large Language Models.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories A Survey on Fairness in Large Language Models

Reference 17

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Source-reported events for the cited work

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Observation 84aaa5ac-434f-4ca9-954a-581c1b0ff3c7 · outbound

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A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation 4f16f8d7-d9a7-4399-bcf6-2db69d8b97bd · outbound

This paper cites Challenging systematic prejudices: an Investigation into Gender Bias in Large Language Models.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Challenging systematic prejudices: an Investigation into Gender Bias in Large Language Models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:03.547071Z

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Observation d90720f6-4f05-4a73-9279-059dde2c99fe · outbound

This paper cites Navigli, S.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Navigli, S

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T20:57:56.287278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a13feb6-d4e4-40fb-a239-1414680108fb · outbound

This paper cites A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T20:57:56.301512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0f4982e-4841-493b-98f2-6664c5cbc809 · outbound

This paper cites Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T20:57:56.314890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d0cc7ba-e4df-4aaf-8b8f-c033d54996c5 · outbound

This paper cites Lucy, D, Bamman.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Lucy, D, Bamman

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:03.404192Z

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.

Observation bf90d9af-48f8-4703-bf36-6e088a8d0b8a · outbound

This paper cites an unresolved cited work.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:58:03.272922Z

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.

Observation 638579b9-8ee8-48c0-9a30-cce27c136059 · outbound

This paper cites Brummett, Techniques of close reading , Sage Publications, 2018.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Brummett, Techniques of close reading , Sage Publications, 2018

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:03.127914Z

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.

Observation 822fcc08-8b7e-4d89-babc-d706db4be589 · outbound

This paper cites Huang, F.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Huang, F

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:02.979568Z

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.

Observation db188188-4716-41a2-a156-819dbe046d8e · outbound

This paper cites Caliskan, J.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Caliskan, J

Reference 27

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Source-reported events for the cited work

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Observation 640aa5a4-2f77-4804-b853-24a33b910a7b · outbound

This paper cites Baker-Sperry and L.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Baker-Sperry and L

Reference 28

Resolution: verified exact; doi, observed 2026-08-05T20:57:59.086277Z

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.

Observation 22a04dac-475b-4e74-b5dc-6e82f4e1ca0d · outbound

This paper cites Gottschall, ”The Heroine with a Thousand Faces: Universal Trends in the Characterization of Female Folk Tale Protagonists,” Evolutionary Psychology, vol.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Gottschall, ”The Heroine with a Thousand Faces: Universal Trends in the Characterization of Female Folk Tale Protagonists,” Evolutionary Psychology, vol

Reference 29

Resolution: verified exact; doi, observed 2026-08-05T20:57:58.945335Z

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.

Observation c487e8be-c35b-4a0d-ae74-ae594eedab4b · outbound

This paper cites Ragan, ”What Happened to the Heroines In Folktales?: An Analysis by Gender of a Multicultural Sample of Published Folktales Collected from Storytellers,” Marvels & Tales, vol.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Ragan, ”What Happened to the Heroines In Folktales?: An Analysis by Gender of a Multicultural Sample of Published Folktales Collected from Storytellers,” Marvels & Tales, vol

Reference 30

Resolution: verified exact; doi, observed 2026-08-05T20:57:58.772001Z

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

Observation 57155c6b-4f52-4fe1-837f-85f437a61a98 · outbound

This paper cites Gottschall et al.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Gottschall et al

Reference 31

Resolution: verified exact; doi, observed 2026-08-05T20:57:58.561368Z

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.

Observation 316d7659-3b85-41a6-818c-bad8eeff8620 · outbound

This paper cites an unresolved cited work.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:58:02.839510Z

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.

Observation 56d4bade-6a62-4e6c-936b-5c36b4cffe57 · outbound

This paper cites Todorov, Po´etique de la prose.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Todorov, Po´etique de la prose

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:01.928120Z

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.

Observation c01a070e-41aa-4afc-a1af-dd71d960c71e · outbound

This paper cites an unresolved cited work.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 34

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Source-reported events for the cited work

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Observation fe89ea05-5b07-456f-8019-3c92589840a9 · outbound

This paper cites Chang, ”Love in a Fallen City,” in Love in a Fallen City and Other Stories, trans.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Chang, ”Love in a Fallen City,” in Love in a Fallen City and Other Stories, trans

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:02.706686Z

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Observation 905e58d7-4ca0-43a6-a9f9-7edca618ca34 · outbound

This paper cites Propp, Morphology of the Folk Tale.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Propp, Morphology of the Folk Tale

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:02.562098Z

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.

Observation a54b20b2-e4e4-42da-acc4-fb5e1edba1fd · outbound

This paper cites Dinan, A.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Dinan, A

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:02.396176Z

Source-reported events for the cited work

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Observation ee9d229f-00d1-40d1-969a-615aad93d650 · outbound

This paper cites an unresolved cited work.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:58:02.247908Z

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.

Observation 6b3a29e1-8284-4a54-b25a-af9d64b45117 · outbound

This paper cites an unresolved cited work.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:58:02.116427Z

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.

Observation 7b4214d8-de89-4881-b99c-3a31d9a0d3cc · outbound

This paper cites Daulay, ”Heroine and Princess: Women Image Portrayed in selected Disney’s Stories”, J.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Daulay, ”Heroine and Princess: Women Image Portrayed in selected Disney’s Stories”, J

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:00.914124Z

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.

Observation e959bf8a-20f3-441a-8b24-4eacc4ad66df · outbound

This paper cites Cavalloro, Leggere storie.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Cavalloro, Leggere storie

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:01.754006Z

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.

Observation eebdd9ff-5443-4e8f-9217-17ccf7fa7640 · outbound

This paper cites Freytag, Technique of the Drama: An Exposition of Dramatic Composition and Art.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Freytag, Technique of the Drama: An Exposition of Dramatic Composition and Art

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:01.531178Z

Source-reported events for the cited work

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Observation 6cf985ba-8275-4ab2-ae0f-63cb740c8147 · outbound

This paper cites Donini, Ed.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Donini, Ed

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:01.386283Z

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.

Observation af7b4735-796c-4fd1-a776-6be279bde75b · outbound

This paper cites an unresolved cited work.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 44

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Source-reported events for the cited work

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Observation 29ed4fe0-c7fe-460c-b317-8a0fc5923d2e · outbound

This paper cites G ´omez-Rodr´ıguez, P.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories G ´omez-Rodr´ıguez, P

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:58:01.237134Z

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.

Observation 35bc4a70-71aa-4cab-b679-efa7b983dfdf · outbound

This paper cites an unresolved cited work.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:58:01.079778Z

Source-reported events for the cited work

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Observation 53a6467b-dbd9-49cf-ae06-3f509a76f268 · outbound

This paper cites Aupitak, ”Feminist Quest Heroine: Deconstruction of Male Heroism in the 21st Century Fairy Tale Narrative”, In N.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Aupitak, ”Feminist Quest Heroine: Deconstruction of Male Heroism in the 21st Century Fairy Tale Narrative”, In N

Reference 48

Resolution: malformed identifier; doi_truncated, observed 2026-08-05T20:57:58.377930Z

Source-reported events for the cited work

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Observation 26cc4036-2dc8-413f-a16d-a7c976fe1f31 · outbound

This paper cites an unresolved cited work.

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories Unresolved cited work

Reference 2021

Resolution: verified exact; raw_fallback, observed 2026-08-05T20:57:59.864422Z

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.

Pith citing papers

Observation 5e196d18-bbf6-460b-8ac4-e4709b915eb0 · inbound