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Paper Citation Record · LEDGER

Delving into: the quantification of Ai-generated content on the internet (synthetic data)

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.08755.

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

pith.paper-citation-record.v1
2504.08755 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T00:10:08.976588Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.286789Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aad8b330-6bcf-4a87-a40e-1ef838004d64 · inbound

The Impact of AI-Generated Text on the Internet cites this paper.

The Impact of AI-Generated Text on the Internet Delving into: the quantification of Ai-generated content on the internet (synthetic data)

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:05:29.735307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T14:01:29.175202Z digest=sha256:c0b0957188f4cc3d0c0a9f576ce740b5d6fa851c873986fd69e8dde9fde44a6b

Observation ebb52073-dca5-4b7d-9b66-33ed552c531d · inbound

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities cites this paper.

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities Delving into: the quantification of Ai-generated content on the internet (synthetic data)

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:40.850815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T18:16:51.881163Z digest=sha256:a2aba850fde349b1b4112aacb6b6d3bfb8a94a470c0596a9b2eb17e6787edbe2

Observation 32ca8522-b0f9-4f41-9ba7-f8de656e177b · inbound

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities cites this paper.

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities Delving into: the quantification of Ai-generated content on the internet (synthetic data)

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:15:09.335079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T00:10:08.976588Z digest=sha256:56d24892918847337e3ec8accf08d4c764135495ad725872f6e05520f773be69

Observation 87e2517e-02e1-404b-b601-34d4662f66bd · inbound

When Does Model Collapse Occur in Structured Interactive Learning? cites this paper.

When Does Model Collapse Occur in Structured Interactive Learning? Delving into: the quantification of Ai-generated content on the internet (synthetic data)

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:33:05.648482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T06:31:36.248669Z digest=sha256:43d4816f0e27e9981e984d0378e7cd74d85d357a320534ebc25b8e24b6cb9a12

Observation a8f3f136-be5a-42ae-aa3d-dcb135370fd4 · inbound

Steganography Without Modification: Hidden Communication via LLM Seeds cites this paper.

Steganography Without Modification: Hidden Communication via LLM Seeds Delving into: the quantification of Ai-generated content on the internet (synthetic data)

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:27:31.288172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T16:31:01.499103Z digest=sha256:7f34f3464f14ec5a419905842f9606c96dc469fd39df3428bdf7ce400fdc37a9