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Paper Citation Record · LEDGER

CleanComedy: Creating Friendly Humor through Generative Techniques

As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 3 inbound Pith citation observations for arXiv:2412.09203.

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

pith.paper-citation-record.v1
2412.09203 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:17:00.483542Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:11:46.654689Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T08:45:19.186012Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab1dfa3a-b454-4087-bf14-a2fa4d34c3ff · outbound

This paper cites Knowledge Amalgam: Generating Jokes and Quotes Together.

CleanComedy: Creating Friendly Humor through Generative Techniques Knowledge Amalgam: Generating Jokes and Quotes Together

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:17:00.572408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.368792Z digest=sha256:82fd35d232b0356bd07765f58c608bffe5c78b926a0efd2655668d0b0d9bf5b3

Observation b3a7b885-741d-46e5-bb1f-2343cdf50ee6 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

CleanComedy: Creating Friendly Humor through Generative Techniques LoRA: Low-Rank Adaptation of Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.449590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.449590Z digest=sha256:fb6191c822493a327f5667de9897d11200dde58f0a73a1728ae1efb02689bc22

Observation a790f6f5-aed6-423d-bd35-4f19aaa9c454 · outbound

This paper cites In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 105–119, Online.

CleanComedy: Creating Friendly Humor through Generative Techniques In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 105–119, Online

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.610461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.456317Z digest=sha256:cc5514acb8de88bc10dc88a1336c6afa73ac0d7fb6e51140d97ab5d9f5ca7c2a

Observation 7d09ccfa-bf5c-412d-9624-4a518db18271 · outbound

This paper cites In The 2024 ACM Conference on Fairness, Accountability, and Transparency, pages 1622–1636.

CleanComedy: Creating Friendly Humor through Generative Techniques In The 2024 ACM Conference on Fairness, Accountability, and Transparency, pages 1622–1636

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.603488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.462273Z digest=sha256:4e889b778ed0a29547a4f0ba8ec5b0fb2d7e3284d0110c2c8cceab222744f63e

Observation 66ca7538-19f0-4b5a-98ce-28371d987cf7 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

CleanComedy: Creating Friendly Humor through Generative Techniques Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.464992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.464992Z digest=sha256:f07571bed1fd2fdfdbb13eb088c23310b78c10b5c55416b65c289fbaa6925f2a

Observation bfeae320-8b13-4c0f-abbc-1bac7870fbac · outbound

This paper cites In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing.

CleanComedy: Creating Friendly Humor through Generative Techniques In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.594878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.468195Z digest=sha256:53f75550376e20c4015a3509423d2283b15a57b78d78a3274c7fafb02787d628

Observation 53f08d2f-f05e-4d7d-b759-e36b21cf96e0 · outbound

This paper cites The Naughtyformer: A Transformer Understands Offensive Humor.

CleanComedy: Creating Friendly Humor through Generative Techniques The Naughtyformer: A Transformer Understands Offensive Humor

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:17:00.518716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.474888Z digest=sha256:7cc1ddd0aad4679309ce36a886018686357adacf963e60a4dee3183567e6324a

Observation 174776ac-f535-49c9-b254-1bba17f03d8a · outbound

This paper cites Humor Detection: A Transformer Gets the Last Laugh.

CleanComedy: Creating Friendly Humor through Generative Techniques Humor Detection: A Transformer Gets the Last Laugh

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:17:00.507692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.480299Z digest=sha256:51b08e90ab6576658a8573f6f5a4b3b51f8f76822a3ff78caf1d5856e4a02a8c

Observation 99a9c926-f565-490c-a4b5-1e2c0352c6fe · outbound

This paper cites In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pages 2367–2376, Lisbon, Portugal.

CleanComedy: Creating Friendly Humor through Generative Techniques In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pages 2367–2376, Lisbon, Portugal

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.580181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.483542Z digest=sha256:3effe14fe1b79f97e150ed5993112c422140e540c10c92843c448e873fbf4983

Observation e25dc3d4-8e52-4612-b596-0b83b9ff153f · outbound

This paper cites Dialogue 2017.

CleanComedy: Creating Friendly Humor through Generative Techniques Dialogue 2017

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.587311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.477778Z digest=sha256:28e4cc11358a524c13a0893afec6cdab08e404a306ed656ef6b7656c2ea867d7

Observation 4e0d13fc-ae9c-46bb-881f-05729d2ce092 · outbound

This paper cites an unresolved cited work.

CleanComedy: Creating Friendly Humor through Generative Techniques Unresolved cited work

Reference 2018

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:17:00.616729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.365634Z digest=sha256:be21b724112da12e0c9245acaa006e0c76621a2cb1c4b012ec092a4fd39e74fb

Observation 6a5ce24d-e18b-434a-8dee-f12aeb5d4a65 · outbound

This paper cites Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language.

CleanComedy: Creating Friendly Humor through Generative Techniques Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.452477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.452477Z digest=sha256:97c57376c1ea9c30260ebaaf6471e29143d6e81089ff215343b67bfef3f17005

Observation 4bd1f9f2-f4a1-4f33-89a6-4783c47a0d9a · outbound

This paper cites Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation.

CleanComedy: Creating Friendly Humor through Generative Techniques Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.471051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.471051Z digest=sha256:144120f0545806de7b348aaadc41c3315e78b0853a10cf1371920758f2759646

Observation 8ebe3ff9-6722-4d7c-8f8c-1aa751353f65 · outbound

This paper cites Methods for Detoxification of Texts for the Russian Language.

CleanComedy: Creating Friendly Humor through Generative Techniques Methods for Detoxification of Texts for the Russian Language

Reference 2021

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:17:00.562703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T17:17:00.372148Z digest=sha256:10d5cf97fed5272b220d9a092db9ed60cb640f216bd85d633ef6bf4fe4493a61

Observation 04f1c21c-1907-4a15-a6f0-0ecfe8960975 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

CleanComedy: Creating Friendly Humor through Generative Techniques BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.445255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.445255Z digest=sha256:5928b75254684d76d05d1eeab38feb8d0f0b9aa5e5c9554ea6e31745ed2c84a6

Observation 2942322d-55b3-4fc2-bc61-621f284992ed · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

CleanComedy: Creating Friendly Humor through Generative Techniques SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.459083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.459083Z digest=sha256:f69c116941c6900e5b41a848531658c11cea961efa67e708b9ce1207e41c4bb8

Pith citing papers

Observation f0ec1b63-b8a3-4c06-affa-4c50e56e9c0b · inbound

On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation cites this paper.

On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation CleanComedy: Creating Friendly Humor through Generative Techniques

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T06:11:46.654689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T06:11:46.654689Z digest=sha256:dcc45b5da38a9c5063a131f0b4dd30d791eff73a39aa47042e28f3c0b0326ca3

Observation b6778469-650e-44aa-aac3-32218a79d565 · inbound

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation cites this paper.

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation CleanComedy: Creating Friendly Humor through Generative Techniques

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:45:19.187544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-15T08:42:28.685159Z digest=sha256:a21bb3e043813dece4d26abb77477782835e457f862dec3d9dbc7eca0f7e7aeb

Observation 67ca7e92-9489-407c-943b-da0a2a785f10 · inbound

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation cites this paper.

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation CleanComedy: Creating Friendly Humor through Generative Techniques

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-13T22:22:41.696113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T22:22:41.696113Z digest=sha256:ff7bd73ab27fcc0bd85d29254bc5ffbada5c901144119ae9e2439fbcb2884685