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Paper Citation Record · LEDGER

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2504.17834.

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

pith.paper-citation-record.v1
2504.17834 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:46.744488Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy14
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3cfb036-a242-4322-b093-b9c59e29d0e8 · outbound

This paper cites Advances in neu- ral information processing systems29(2016).

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Advances in neu- ral information processing systems29(2016)

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation acc5c3ec-6541-4ec7-ac56-db1b65548310 · outbound

This paper cites Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews

Reference 2

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local_arxiv, observed 2026-08-16T10:38:47.025611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f7cb6435-6d4b-49f7-a721-ec865af767cb · outbound

This paper cites Proceedings of the American Society for Information Science and Technology50(1), 1–9 (2013).

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Proceedings of the American Society for Information Science and Technology50(1), 1–9 (2013)

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 836c0dcc-e90d-474b-9738-6192729d6835 · outbound

This paper cites In: Proceedings of the 17th ACM International Conference on Web Search and Data Mining.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Proceedings of the 17th ACM International Conference on Web Search and Data Mining

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b6edf5d8-9c65-4998-9e11-bab3db6b1766 · outbound

This paper cites In: The world wide web conference.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: The world wide web conference

Reference 5

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raw_fallback, observed 2026-08-16T10:38:47.768614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:38:46.135103Z digest=sha256:9e8edcb230cb3255c04095b8d06de10094ec7d993ed3d4cb78970f84153740ee

Observation b6a72d24-6d35-4eff-b85d-439a70fb3b36 · outbound

This paper cites In: Advances in Knowledge Dis- covery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I 22.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Advances in Knowledge Dis- covery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I 22

Reference 6

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raw_fallback, observed 2026-08-16T10:38:47.755027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c644df50-234e-4620-a41f-f90834b6a690 · outbound

This paper cites "Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection "Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism

Reference 7

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local_arxiv, observed 2026-08-16T10:38:47.005604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:38:46.246439Z digest=sha256:387482df48f880ef6fc02f40137f0f3494dfb28a7a3e013932f91571bda82ce8

Observation 00a83982-34e0-46f2-8b65-a8a38dfbf9bb · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af929d28-318d-4ff7-a394-9e7545621ba5 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a024ee12-1c1b-436e-ab11-f51db197bb7a · outbound

This paper cites Journal of Machine Learning Research 23(120), 1–39 (2022).

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Journal of Machine Learning Research 23(120), 1–39 (2022)

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c5a7602-735f-4e6b-9900-b0e1461d7470 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Fast Graph Representation Learning with PyTorch Geometric

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3e267469-e9a2-4baa-bf4e-6665e25a112e · outbound

This paper cites In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Reference 12

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raw_fallback, observed 2026-08-16T10:38:47.717157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 08578845-26d8-44c6-aaf3-0a018695fdb1 · outbound

This paper cites In: Proceedings of the 23rd International Conference on Computa- tional Linguistics (Coling 2010).

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Proceedings of the 23rd International Conference on Computa- tional Linguistics (Coling 2010)

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation fcf78944-15e2-405b-9561-0dc8f0a79d2d · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 824e6afa-7330-434a-b0ea-2d778b6b1a73 · outbound

This paper cites In: Pro- ceedings of the web conference 2020.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Pro- ceedings of the web conference 2020

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:38:47.685833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5dfd2a59-7104-443b-afc6-25f32ac34b1b · outbound

This paper cites In: Proceedings of the International AAAI Conference on Web and Social Media.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Proceedings of the International AAAI Conference on Web and Social Media

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:38:47.647473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 71df5031-48a6-4be3-8452-0bd2b104ff9b · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Semi-Supervised Classification with Graph Convolutional Networks

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0a6da634-f5b5-4089-951d-e80ce12f5ffa · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 18

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no resolver link, observed 2026-08-16T10:38:46.377467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a9410b95-feb2-4069-8de3-c37c547edb9d · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 19

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no resolver link, observed 2026-08-16T10:38:46.381643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f73014cd-e7b7-43d5-81ba-f72dc6f7fecd · outbound

This paper cites In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:38:47.483716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f6a777cc-65e1-4af4-bf53-353f0dd3f9e9 · outbound

This paper cites Psy- chological bulletin116(1), 75 (1994).

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Psy- chological bulletin116(1), 75 (1994)

Reference 21

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raw_fallback, observed 2026-08-16T10:38:47.378880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b590e1ed-2611-400d-853d-7d137aedf605 · outbound

This paper cites In: Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-16T10:38:47.367091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2cbac3b9-071f-41e2-b402-c74cc2c91309 · outbound

This paper cites Think about it! Improving defeasible reasoning by first modeling the question scenario.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Think about it! Improving defeasible reasoning by first modeling the question scenario

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bc3b4f68-2d5c-45fc-abfb-4a9718a0d301 · outbound

This paper cites an unresolved cited work.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 07947ecd-d756-44fc-9ffe-a5476489d0bb · outbound

This paper cites an unresolved cited work.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Unresolved cited work

Reference 25

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a68e86b0-2807-48cf-a610-fa731f607b3f · outbound

This paper cites Neural Networks130, 195–205 (2020).

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Neural Networks130, 195–205 (2020)

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c2544f3e-d09c-4e3b-a1bc-aad176027c81 · outbound

This paper cites Advances in neural information processing sys- tems32(2019).

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Advances in neural information processing sys- tems32(2019)

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bec1a61e-e230-4ba8-ad8d-79001d8b1d20 · outbound

This paper cites the Journal of machine Learning research12, 2825–2830 (2011).

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection the Journal of machine Learning research12, 2825–2830 (2011)

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cc4500d1-7224-4288-b99a-8ca44b5d01f1 · outbound

This paper cites From Sparse to Soft Mixtures of Experts.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection From Sparse to Soft Mixtures of Experts

Reference 29

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no resolver link, observed 2026-08-16T10:38:46.429612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 71afbefa-8329-4ef7-a477-e2ebaaa9dcc7 · outbound

This paper cites an unresolved cited work.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0f2f9c66-515c-4636-a368-adb130f079f5 · outbound

This paper cites an unresolved cited work.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-16T10:38:47.289934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 44b961f8-7588-4eb3-a46e-7c3aa4083146 · outbound

This paper cites In: The semantic web: 15th international conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, proceedings 15.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: The semantic web: 15th international conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, proceedings 15

Reference 32

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no resolver link, observed 2026-08-16T10:38:46.442261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fdd62170-f2b8-49db-a23c-5d1e4b983712 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3167e544-3484-4da8-ae58-922b2f1eaa5e · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Retentive Network: A Successor to Transformer for Large Language Models

Reference 34

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no resolver link, observed 2026-08-16T10:38:46.469468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cde31350-468f-4d83-88d4-d54aef806197 · outbound

This paper cites Graph Attention Networks.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Graph Attention Networks

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:38:46.564431Z digest=sha256:91d68a465d9a3fa32b3bcb5c83d26aebc99495019b083bf629c0ecd20b3a8838

Observation babb63eb-5ce7-41cd-a18d-7864c1daeb6a · outbound

This paper cites Fine-Grained Spoiler Detection from Large-Scale Review Corpora.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Fine-Grained Spoiler Detection from Large-Scale Review Corpora

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T10:38:46.635664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:38:46.635664Z digest=sha256:5f33bbca359cb079f1097ab5107d4f5f7e133c94f34f56f535082d1f0b2a10b9

Observation 2e9afb31-c738-44f1-9570-47faa9189289 · outbound

This paper cites Multi-hop Attention Graph Neural Network.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Multi-hop Attention Graph Neural Network

Reference 37

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unresolved
no resolver link, observed 2026-08-16T10:38:46.719056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:38:46.719056Z digest=sha256:c65ae3183c79a0d7a7edc1ecf31bba6fc38c55ad3efc1c698483c0d11890a294

Observation 7ca591a1-198d-4c96-b40b-a55f2e5b7bc4 · outbound

This paper cites In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:38:47.270935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:38:46.724994Z digest=sha256:07bee1e26e810cf116cd5561ade1355af2bffb51442565f642d0bbaf00cfe2a8

Observation 72b9c9e4-03da-4805-9c63-7f8b886f1b9b · outbound

This paper cites In: Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection In: Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T10:38:46.730384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:38:46.730384Z digest=sha256:4cb1ac5b4717fd3d64e7550f0466b2edc4749c777a35ba39a851fa89a057c111

Observation 3654b229-95ec-4a7f-9dfd-1421ea16b53f · outbound

This paper cites Spoiler in a Textstack: How Much Can Transformers Help?.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Spoiler in a Textstack: How Much Can Transformers Help?

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:38:46.806492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:38:46.734679Z digest=sha256:cfeaaed14c770a298ac9c259825880c9b2d0c239354b524a0d55ff8ab900e38e

Observation 4c734e8a-df5e-49b5-98b4-bf51dd021ce9 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection C-Pack: Packed Resources For General Chinese Embeddings

Reference 41

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unresolved
no resolver link, observed 2026-08-16T10:38:46.739024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:38:46.739024Z digest=sha256:21cdeb0c29f3ff19222183306f2343585595eb52383b05dedeb1fe47a33e6a5a

Observation c79fb861-f5d0-4b17-9167-65dd918b5431 · outbound

This paper cites Key Information.

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Key Information

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:38:47.144671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:38:46.744488Z digest=sha256:8654c9286bd27581172162b3914018f37cc102f46c9ad7152da4e0e4020a9d2c

Pith citing papers

No inbound Pith citation observations are available.