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Paper Citation Record · LEDGER

UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.12318.

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

pith.paper-citation-record.v1
2410.12318 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:51:15.245755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:46:53.185902Z

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 3e25c41a-9f1c-4e53-9240-0037dd8fc238 · inbound

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models cites this paper.

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:15.245755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:15.245755Z digest=sha256:edefbb5e84737b97792190ad59f7f3a8bb408004006136ca2ef98746e92d9728

Observation 77375ab7-916f-42b5-948b-2851f8a75042 · inbound

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing cites this paper.

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T05:19:07.935811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:19:07.935811Z digest=sha256:4844dd8fb7c64c71780c990bc66a2eedff2489d290a2286c498e61fe311a1d3d

Observation 75feaa37-73c1-462e-b432-ceb2e2465666 · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:53.190305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:f06a711bda853533cb31584f09dcb427efc94004155457dceb0983414da313da

Observation fac98c5e-2dbf-4aab-816f-1bb48ddfcf13 · inbound

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models cites this paper.

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T13:17:08.155632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:17:08.155632Z digest=sha256:bc94ebe033e3ede08cf1de0a87079b3f58bdfc04e1d12da9ce3d9b5d90c35984

Observation a7d59abd-eda5-4698-b919-60ed6ce4e6d5 · inbound

From Construction to Injection: Edit-Based Fingerprints for Large Language Models cites this paper.

From Construction to Injection: Edit-Based Fingerprints for Large Language Models UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T11:12:42.851363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:12:42.851363Z digest=sha256:baa3065bfaec16af581f6799085c6f28395327266eb6858913f3f091753b95a4

Observation ae8655d6-e4f9-4590-a551-992b54948179 · inbound

CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor cites this paper.

CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T05:54:46.057356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:54:46.057356Z digest=sha256:f5f20ec33645f2cf6274f1ac9a555c4126708151024100e8f816d0f2a0b68cd8

Observation 4595ec87-5115-4cc7-a80f-e3e49c8e3c8c · inbound

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:25:54.514223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:1de7352ebc7652613ea6054d6a71ab510ab7d9f4bf59efb02e1798a4dd8fd04c

Observation 875eda3e-6386-4aa3-81ea-f203568f41b2 · inbound

AttnDiff: Attention-based Differential Fingerprinting for Large Language Models cites this paper.

AttnDiff: Attention-based Differential Fingerprinting for Large Language Models UTF:Undertrained Tokens as Fingerprints A Novel Approach to LLM Identification

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:50:48.064695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:33:51.714347Z digest=sha256:dbaad0ca948bd21abf67e50e86eaeda8e672e471b27da29615a8d37023a4eb00