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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-16T06:30:59.297886+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
  • metadata mismatch1

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.165380Z digest=sha256:f90c3a6b75da91ba743c2ece1f6a3b2fcf9059b0f9d349db2fd796b2ddc25a89

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.172804Z digest=sha256:21950e3a328a3c3b4217c81dd1eb29ee46044b164d89bf6b7e2d274e91625759

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.176420Z digest=sha256:f34cd2e0572e24b855b42119af665fe2dbdb8ced0d076c7edbbc3a2594b0f24b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.181541Z digest=sha256:e27f4823124db25d48f94d032c5163b7bdba8868ac69fd325afe4fb5917bdf90

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.185059Z digest=sha256:d23189c268d9d1ce5a8f161d8b6a1f2ffa6246846846f147a2ee82f9dfd67b5d

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

Resolution
unresolved
no resolver link, observed 2026-08-05T20:57:56.188933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:56.188933Z digest=sha256:7af2738c188029a56a5f81be32579c3827ea24f1c7ccc8f00d81ac4b753497ff

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

Resolution
verified exact
doi, observed 2026-08-05T20:57:59.391645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.192610Z digest=sha256:2d27708353f507361636ebf68bb0d1b6fa3fc86758716028e0b63b5376e68d18

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.196006Z digest=sha256:e025259a40dedce9c927ea3dbe863feda7e9cb5a311ec4eee28da297e9a90291

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

Resolution
unresolved
no resolver link, observed 2026-08-05T20:57:56.199290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:56.199290Z digest=sha256:2739a813b1923fb4ce427ee9ccf52c1c59520267179cfa3996c5ec4a53bc4f76

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.202505Z digest=sha256:03c4b0ea9a9c1a3854f103bca779df322a2522a403f85d2d0b5d37a527c989ef

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.206347Z digest=sha256:0ffa0cac63872d692c88e39a47bfe0e68249974ddf38dcc3f1f8f4728bff924f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.211775Z digest=sha256:b5685433f64634298b1c18731b37528f3d87ad2215bf7bb177f00116b62fc670

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:58:03.865865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.218226Z digest=sha256:d82035f0b2c6018b310b9cc688cca475024a67423361a88118c0462cc05eceac

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

Resolution
unresolved
no resolver link, observed 2026-08-05T20:57:56.227749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:56.227749Z digest=sha256:4af801348db1b8b864e41262c785a59eca350ea2603f846718e3ee67d075972a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.243166Z digest=sha256:3145dde2e69e8463ae9a08fa95c4c64c49ae9ce3e47ca3344dd36a4871ae7c9c

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

Resolution
unresolved
no resolver link, observed 2026-08-05T20:57:56.249363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:56.249363Z digest=sha256:03b742c12e3b7be90289ad2c629d60d8a8d64baec0cf4d6991b60b9cca21be87

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

This paper cites an unresolved cited work.

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

Reference 18

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T20:58:00.176707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.257570Z digest=sha256:db5780f8403e699172fe8d3aa484475647cd1ec20593317144dbe93241692e9a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.271293Z digest=sha256:52e9610cd91521d6e6cf934de98351adb1280cbb71bebced3b3c478fbc99a819

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.

source=pdf_text observed=2026-08-05T20:57:56.287278Z digest=sha256:c68acbd540a6b499a28cf1a520366b87c0d0b05e9a039cbeaa1d087b6ae5bf81

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:56.301512Z digest=sha256:3ee474448c1533127c0ce8237f3d4307eefc43b92379b4c69336504191988aac

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.

source=pdf_text observed=2026-08-05T20:57:56.314890Z digest=sha256:b433755f92f0ae4b2303483afb661715d9c195b514f3d1dfcc041cb0a1c00547

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.330065Z digest=sha256:d66a905c1321d2d77ae232599a227353bd70c36066ce7f86ca7f9d34cc0da298

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.342100Z digest=sha256:b674c5cca2d8f3b5fd0f8389215256844a106476f2abadea29013b47b6088108

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
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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.354809Z digest=sha256:650d20739fae36ee1f9bc7f964d3d9fc6189bcdf45460b663f0e9036f666b0f6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.364005Z digest=sha256:526e6602b2e7e698db5d5bb583f754d0e619ecb11daed9dfadd4e81372cf5bd4

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

Resolution
unresolved
no resolver link, observed 2026-08-05T20:57:56.414751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:56.414751Z digest=sha256:06d072cc523dec1b0dfa55f4e57e48237cc2a52132f959fed5e30edd5ecea1c4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.527684Z digest=sha256:f490914c2d6e483a44c952da81063dc30d8b6dd46fb1d7062a33ae164bb85cce

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.602409Z digest=sha256:795c69c5428e80c9b5215cf9ad51df0ca95627f167aef46b6d09395954b771a3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.644152Z digest=sha256:f79e8156857ba873ea60fbd0fa94f98d68e7fc413ff029da38abe23cdd6e145f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.727919Z digest=sha256:303a18a8e87fea7d3ae3afea18a6e3bcaf3a4d3e1540751f80afc7489dc16be4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.794821Z digest=sha256:2162cbe47afa1683a1408eaeb420c2852200f65df73ac118d251701ca7666b70

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.437613Z digest=sha256:33485781a1a0dadaa4c2e395df11d73070d52fd62ca5f6480e8f30d0067ed446

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

Resolution
verified exact
raw_fallback, observed 2026-08-05T20:57:59.628200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.990353Z digest=sha256:a331ebb8353e39b7461ce30adc6ed49dcf631e33c905c969f1ae21e6d5a1af14

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.068038Z digest=sha256:0fd5a7fce3abf32a82d84a93bf25e9dddef20945dc92f97da376803e1dfb90ff

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.138731Z digest=sha256:6ca16edd024bfab5b3b2c2a2f22ff232cabceccc3a88e460365a523a958bb21d

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.217487Z digest=sha256:62342f0ee138633766bff8a3d22f93cb43e074886b3c2a892a3dcb3103c9e8cd

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.290467Z digest=sha256:021fcd21ba349e180e1d4fcab401a1ed4002ca823896377d3ad39264db055fd5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.355425Z digest=sha256:01048252a704c78d7fddd3f1347f1b7d69c738a2c45274c99ec77997e32eb7e8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:58.062077Z digest=sha256:a6f1e7f50def54869a6dce77c27457c9fd76cf21265a019062458e77c28997c6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.524259Z digest=sha256:9c2a75aacbbc3eb6cb1e55789ee85f433bfb7aa1c4f30ecb8c65a5514fcef80f

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.604019Z digest=sha256:47ac94ac2367f191404cc19ba1e66b3bdc0e1fe0612a9df43c14cac47f722145

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.713207Z digest=sha256:bc0f237af9798c40954cf9210312c42c932e1abdedd3c3cc6fdc2c26ddb09edb

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

Resolution
unresolved
no resolver link, observed 2026-08-05T20:57:57.794261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:57.794261Z digest=sha256:8cbaed39a2097469bc3653ac22a4533eec881e3e4166764c390d03f77d47a7e2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:57.909483Z digest=sha256:9de13202f1a47faeaaf396ce35161d3c3c283b54bda68c5902e09eb9cb5648c1

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:58.010730Z digest=sha256:7d1604b34ef334535abdf2f683ea5ba108e1f80c91cda328b10887d1e139e40e

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:58.193024Z digest=sha256:5e76ac4545749edd96d456c8fe2317f3990419750098c3013e71f5e58202d83a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.908762Z digest=sha256:bace60cb8184a48f5b4fd561e814d526f5538e259647984e28b52234ad84d6d6

Pith citing papers

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

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T20:57:56.176420Z digest=sha256:f34cd2e0572e24b855b42119af665fe2dbdb8ced0d076c7edbbc3a2594b0f24b