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Paper Citation Record · LEDGER

AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.04265.

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

pith.paper-citation-record.v1
2410.04265 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:13.229201Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 719ccea3-9be8-4c00-8a33-b6b979c14df3 · inbound

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models cites this paper.

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T19:54:19.056145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:54:19.056145Z digest=sha256:46cf1bb76529d37295a32446589def8db00cbf919889d01097fb3dd2a6145e5a

Observation ea5d328e-95e1-4de9-ba74-8f5fe8ca1bf5 · inbound

An Annotated Reading of 'The Singer of Tales' in the LLM Era cites this paper.

An Annotated Reading of 'The Singer of Tales' in the LLM Era AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T20:08:32.592916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:08:32.592916Z digest=sha256:262acce38b9eacb5df8ab87fd1a6e80a997848c53d201938e2edf8398a923d5c

Observation baa3fa8b-e7ae-4a56-b9f9-4bfb0d0b1347 · inbound

Dynamic Reinforcement Learning for Actors cites this paper.

Dynamic Reinforcement Learning for Actors AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T19:07:25.285924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:07:25.285924Z digest=sha256:91fb9cc516bb30c63bb43c87da717de291243a17c3fe361efa25e52f9dc8ff3a

Observation 578bf052-fdd1-4cc3-8e2a-128f14a270c8 · inbound

ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data cites this paper.

ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T11:54:13.229201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:54:13.229201Z digest=sha256:ae0c829383b2efe397e188d00d6bde95ae6c675064bae1de3ebd6434aa25d8c3

Observation 730c2e3d-32d4-4745-b16c-fcdd7516a742 · inbound

Base Models Beat Aligned Models at Randomness and Creativity cites this paper.

Base Models Beat Aligned Models at Randomness and Creativity AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:56.194438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:10:56.194438Z digest=sha256:67e8702f9031985bdb6c025e7e595ad42e7edad94f3e463325b545f5d87fca42

Observation 203275a8-477a-4007-8762-adad24320538 · inbound

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models cites this paper.

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:52:33.719088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T20:52:33.620041Z digest=sha256:25fc6aa636d79d6611deecfcf7e3ac60bd7622087dbf3db6a20eeb22306c5463

Observation 4d1f55ea-0412-431e-a04f-c415d63ba13d · inbound

GuessBench: Sensemaking Multimodal Creativity in the Wild cites this paper.

GuessBench: Sensemaking Multimodal Creativity in the Wild AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:41.825345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:01:41.825345Z digest=sha256:d8ba62d4e92e9fa01ab3a354b5961103ecb1175fc67b430d7db70baf044419e5

Observation b91aa658-2c14-47f2-814b-ff0e734235e0 · inbound

The Reader is the Metric: How Textual Features and Reader Profiles Explain Conflicting Evaluations of AI Creative Writing cites this paper.

The Reader is the Metric: How Textual Features and Reader Profiles Explain Conflicting Evaluations of AI Creative Writing AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:58.352594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:11:58.352594Z digest=sha256:40bebb2f1c1b015033047e7cfe7b3004e270423212e788b129e3567843c0139d

Observation 5fb3a617-7b3e-4565-8673-1d1bcf4aebde · inbound

CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity cites this paper.

CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T08:34:26.375678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:34:26.375678Z digest=sha256:b67d3c036a576df554db0eb43e29e650ee85ecfbcd29560207d6b82b765c1239

Observation 78d4bb73-55a8-45f7-9e0f-610d87ddb175 · inbound

How Creative Are Large Language Models in Generating Molecules? cites this paper.

How Creative Are Large Language Models in Generating Molecules? AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:01:00.360216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T04:23:20.161703Z digest=sha256:5f9e225f8a046814e760657a1f52a7ea3e2eacb8ff644120924606f02667bfb8

Observation 82b87f04-3392-4850-b76f-7a8801b5a879 · inbound

Ex Ante Evaluation of AI-Induced Idea Diversity Collapse cites this paper.

Ex Ante Evaluation of AI-Induced Idea Diversity Collapse AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:16:09.429718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T09:49:57.122084Z digest=sha256:bc464fdd78094e386fa99ad919a824b324ee05464af2f31c61ba67e334fa2819

Observation f2a8945d-a3df-4742-ad3f-0641bf32cbd1 · inbound

Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing cites this paper.

Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T16:11:02.665717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T16:09:08.317910Z digest=sha256:954afe0af7ca17afed965ef9e7f9a02c1dc4c17cf63d81a6f6a86c48884bda7d