Paper Citation Record · LEDGER

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2509.10509.

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

pith.paper-citation-record.v1
2509.10509 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:04:05.838523Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

31 of 31 outbound references displayed

verified exact4
verified fuzzy14
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71e09e99-5d90-435f-9662-9177bbe92bca · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:03.246336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f298ce14-2409-4c40-87dd-7895bed68fab · outbound

This paper cites AI models collapse when trained on recursively generated data,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback AI models collapse when trained on recursively generated data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:10.585506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3c52b74c-c28d-4824-ab6d-f3963610d379 · outbound

This paper cites Recursive training loops in LLMs: How training data properties modulate distribution shift in generated data?,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Recursive training loops in LLMs: How training data properties modulate distribution shift in generated data?,

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-05T12:04:07.741439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4f6ba3b3-58aa-49b0-ad13-64481b3a74e9 · outbound

This paper cites How Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback How Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:03.464968Z

Source-reported events for the cited work

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Observation 0d760629-133c-4ec9-af57-a6447ecdb887 · outbound

This paper cites Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:03.563556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9948cd37-bfb1-4aab-b3f3-95fba413833c · outbound

This paper cites Rate of model collapse in recursive training,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Rate of model collapse in recursive training,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:10.561520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bc33e06f-5803-4cba-8572-96046db87081 · outbound

This paper cites Improving the Scaling Laws of Synthetic Data with Deliberate Practice.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Improving the Scaling Laws of Synthetic Data with Deliberate Practice

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:03.747907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82eff538-4fd2-4964-b592-c5a56efb549d · outbound

This paper cites Cross-Entropy Is All You Need To Invert the Data Generating Process.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Cross-Entropy Is All You Need To Invert the Data Generating Process

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:03.839746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22de80ee-71bb-4b88-9344-fa633f10234b · outbound

This paper cites An entropy-based model for hierarchical learning,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback An entropy-based model for hierarchical learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:10.524458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8eef210b-4baa-4101-bd6e-e03307ef2c29 · outbound

This paper cites Cognitive offloading,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Cognitive offloading,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:10.213842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2292af0c-11f6-4d52-970d-5b6114cc0d3a · outbound

This paper cites Effects of generative artificial intelligence on cognitive effort and task performance: Study protocol for a randomised controlled experiment,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Effects of generative artificial intelligence on cognitive effort and task performance: Study protocol for a randomised controlled experiment,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:09.957898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f01829ac-4560-4480-a3d3-598496b5a733 · outbound

This paper cites How human–AI feedback loops alter human perceptual, emotional and social judgments,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback How human–AI feedback loops alter human perceptual, emotional and social judgments,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:09.686042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f6a66d67-4e82-4ef7-93ae-98fed50f06b3 · outbound

This paper cites University students offload critical thinking, other hard work to AI,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback University students offload critical thinking, other hard work to AI,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:09.461082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 99094e2b-c51a-4574-8f0e-d8cf24820c2d · outbound

This paper cites The cognitive paradox of AI in education: between enhancement and erosion,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback The cognitive paradox of AI in education: between enhancement and erosion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:09.352084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4f890d57-6bb7-4dc3-8c6f-926ed706d0d1 · outbound

This paper cites Training language models to follow instructions with human feedback,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Training language models to follow instructions with human feedback,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:09.018358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6096402b-40d6-4144-be94-3893aed94153 · outbound

This paper cites Deep reinforcement learning from human preferences,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Deep reinforcement learning from human preferences,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:08.663159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 204f11e3-f7e5-475c-9fe1-17de2c24ec84 · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:04.797646Z

Source-reported events for the cited work

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Observation 539215bd-5c0e-438b-9083-e151f4ee169e · outbound

This paper cites Reward shaping to mitigate reward hacking in RLHF,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Reward shaping to mitigate reward hacking in RLHF,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:04.873618Z

Source-reported events for the cited work

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Observation da17d70c-5e09-46b1-84fd-ffb24531c819 · outbound

This paper cites The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:04.942029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b70c1c5-bb61-44d0-a842-0e0683b2b3e1 · outbound

This paper cites Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through reinforcement learning from human feedback,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through reinforcement learning from human feedback,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:08.462076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 56844974-c884-451e-8d05-48902bd092c6 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback LoRA: Low-rank adaptation of large language models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:08.295574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6df64cd8-7e0f-4b3a-b79e-3e2ca3977270 · outbound

This paper cites The False Promise of Imitating Proprietary LLMs.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback The False Promise of Imitating Proprietary LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:05.171538Z

Source-reported events for the cited work

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Observation e088d062-f2f9-458d-907e-8fb55ce4c88c · outbound

This paper cites Non-Parametric Goodness-of-Fit Tests Using Tsallis Entropy Measures.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Non-Parametric Goodness-of-Fit Tests Using Tsallis Entropy Measures

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 45f27741-6e81-4304-8993-2ab58ed95feb · outbound

This paper cites General Table Question Answering via Answer-Formula Joint Generation.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback General Table Question Answering via Answer-Formula Joint Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:05.338256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e5145d-1661-4a30-b4c8-0abaa7615c71 · outbound

This paper cites Beyond model collapse: Scaling up with synthesized data requires verification,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Beyond model collapse: Scaling up with synthesized data requires verification,

Reference 25

Resolution: verified exact; raw_fallback, observed 2026-08-05T12:04:06.973056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cc863294-93fc-406e-bbf2-04c418ff09be · outbound

This paper cites Scaling laws of synthetic data for language models,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Scaling laws of synthetic data for language models,

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-05T12:04:06.659360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6c0634f3-5e54-4455-aabe-22e489beaeda · outbound

This paper cites Your brain on ChatGPT: Accumulation of cognitive debt when using an AI assistant for essay writing,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Your brain on ChatGPT: Accumulation of cognitive debt when using an AI assistant for essay writing,

Reference 27

Resolution: verified exact; raw_fallback, observed 2026-08-05T12:04:06.383381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6502d5a3-b232-4e71-9b71-0aed4f001bc0 · outbound

This paper cites Wing Optimisation for a tractor propeller driven Micro Aerial Vehicle.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Wing Optimisation for a tractor propeller driven Micro Aerial Vehicle

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T12:04:06.134884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 33d30845-a044-4fec-9ec7-9b408ad59e5b · outbound

This paper cites Extending minds with generative AI,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Extending minds with generative AI,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:08.084381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 22e08673-67cd-471e-bebc-3123d7eae642 · outbound

This paper cites Protecting human cognition in the age of AI,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback Protecting human cognition in the age of AI,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:05.757206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30272053-5232-4c8a-bf19-f0b694045514 · outbound

This paper cites BiMark: Unbiased multilayer watermarking for large language models,.

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback BiMark: Unbiased multilayer watermarking for large language models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:07.919722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.