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Paper Citation Record · LEDGER

ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.01052.

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

pith.paper-citation-record.v1
2503.01052 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:16:36.531312Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T08:48:01.033584Z

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 9967247f-93ea-4f43-9020-89cb3ac4482b · inbound

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation cites this paper.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:36.531312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:16:36.531312Z digest=sha256:92fa00810a8f7d8110aad455e6c1d493e77fa042d76e7fbcbfb982c832254fd3

Observation 519ba9e3-d3d3-4a55-aa9a-36dfb9f81d51 · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:48:01.035707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T08:47:36.122054Z digest=sha256:df8f8c9fa62b3d47f10f3c9b09fbf74b466c612c0f16ac8e96b531a33000a8df

Observation 8a81f9ac-ccaa-4cff-829e-27d84529b2ae · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T16:12:11.629106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:12:11.629106Z digest=sha256:503dd27962732e60f0b04e9af76d06aef71467d7ffe6a9007ca80184b2ceca8e