Pith. sign in

Paper Citation Record · LEDGER

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets

As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.13037.

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

pith.paper-citation-record.v1
2607.13037 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:42:11.348291Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8b7547e-938f-4a50-96b2-af6681f2b508 · outbound

This paper cites an unresolved cited work.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:10.595674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:10.595674Z digest=sha256:e67aefa2ab94a1efa30ae1e5c7bcd4ed61a1064ebddd7cc213562f80ce446f77

Observation aea07d0e-57d1-4af0-83bd-06aeb4c2d755 · outbound

This paper cites an unresolved cited work.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:10.671035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:10.671035Z digest=sha256:63449244d65c8568880872e834bb8bed786965676c6f63b3a1f742901a5957c6

Observation 7d0d5193-dfb2-416c-a3c8-5ee7e23fd848 · outbound

This paper cites purge–author –index follows the same three- hop path but returns only (line_hash, file) pairs without expanding section and author details.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets purge–author –index follows the same three- hop path but returns only (line_hash, file) pairs without expanding section and author details

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:10.801207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:10.801207Z digest=sha256:8b54eb825d24e66253038a406034be8fa442755013f7e098e0975b0138510a80

Observation 6aac9c5d-2634-44d1-af85-a5cc2cbf2b1b · outbound

This paper cites Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:10.443324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:10.443324Z digest=sha256:4de2a2ae474669f8ec7c58240d8aa11a3d686fa8937756f5adc9f2abcbbaf4d5

Observation 225bfc11-1596-4b8b-a8c9-6fc828292ff9 · outbound

This paper cites an unresolved cited work.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:10.910913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:10.910913Z digest=sha256:77ebca04d43122bacced389b3d490643a6889afb4d3509baedf62737894b3650

Observation 2bbe88cf-7a57-4cac-b8f5-2d92555a88d1 · outbound

This paper cites Unified binary index.The binary index (OBIDXF02) uses type-tagged references to serve both the document-index and token-index layers.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets Unified binary index.The binary index (OBIDXF02) uses type-tagged references to serve both the document-index and token-index layers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:11.031035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:11.031035Z digest=sha256:7483b8414342ae8803b2a22cfcd3be07830482ad243a599801f845348f0d52a9

Observation 65eaca66-26b4-4887-a0da-ea2270e78e1d · outbound

This paper cites Lines with r <0.10 are edited by replacing 10% of their alphabetic characters with random lowercase letters.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets Lines with r <0.10 are edited by replacing 10% of their alphabetic characters with random lowercase letters

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:11.106542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:11.106542Z digest=sha256:184c49bfd944ecc91abaf6cab3bfc52ccdd9808fb442392e7537c3303a40c281

Observation ab75d491-1312-4b90-a617-14b5236ecd70 · outbound

This paper cites an unresolved cited work.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:11.237502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:11.237502Z digest=sha256:ddef048eeb1fd23f71ed0c2f0844703462ab42b9187886f18f1337928a472199

Observation fb7ab743-78dd-41d2-a69c-458e971ec1ce · outbound

This paper cites Insertions are placed at random positions.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets Insertions are placed at random positions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:11.348291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:11.348291Z digest=sha256:e50f83c37bc8e0a36b50c022fd6120ce545c89604fa2ee236f9978aa2d353f65

Observation e37d2062-63e1-4df8-bff4-75e840325ed0 · outbound

This paper cites yProv4ML: Effortless Provenance Tracking for Machine Learning Systems.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets yProv4ML: Effortless Provenance Tracking for Machine Learning Systems

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:10.331409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:10.331409Z digest=sha256:9f47b0f148d1ee329703b8bc1d16b811cbc03da7705c88a5b4a75440e2d27a8a

Observation 2f69c239-662a-491b-8cbd-68dcdaf360b4 · outbound

This paper cites Attribute-to-Delete: Machine Unlearning via Datamodel Matching.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets Attribute-to-Delete: Machine Unlearning via Datamodel Matching

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:10.163234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:10.163234Z digest=sha256:9c78ad7b0e7c6ec0601ddbfb486914108f1ebc1fa2e81e0dc62463936183d59d

Observation ea5970f7-b87f-47fc-82e0-ee90391a37c8 · outbound

This paper cites InProceedings of The Web Conference 2026 (WWW ’26), New York, NY , USA.

OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets InProceedings of The Web Conference 2026 (WWW ’26), New York, NY , USA

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:10.013869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:10.013869Z digest=sha256:567b895f906bae7510779f12c4e40ba6a80750a47dc49071486ed909d79123a9

Pith citing papers

No inbound Pith citation observations are available.