Pith. sign in

Paper Citation Record · LEDGER

Aioli: A Unified Optimization Framework for Language Model Data Mixing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.05735.

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

pith.paper-citation-record.v1
2411.05735 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:33:11.418220Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:58:46.766629Z

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 c0713b03-c19a-4554-ae41-bfbec1f733af · inbound

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks cites this paper.

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:02:30.397824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T03:58:48.967122Z digest=sha256:ddbc79c7d6dcd55c1291b1507e775f6a208d9bed65b4d089125cf96edcf7a85a

Observation d340a5f6-606a-466f-8f80-8cb13afd8611 · inbound

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation cites this paper.

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T18:33:11.418220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:33:11.418220Z digest=sha256:0f84da81bbd1483b8420ab8fea43f7eb5abf38179dc4d11dcc50b40f2505832b

Observation 74c29320-b6e8-4c06-b69c-a39e6b5ba3d9 · inbound

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives cites this paper.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T13:33:49.082128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:33:49.082128Z digest=sha256:aae644cbb983459534df581ca395b698e5b941314776501c0e8fdbe5400be858

Observation e8bd06cb-b00b-4571-92b8-6e9e03d988e0 · inbound

Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.

Language Models Improve When Pretraining Data Matches Target Tasks Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T16:53:09.110628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:53:09.110628Z digest=sha256:ada526ed882fef5b1cdfe0db7bd9cb61e7bcdb9d5b4d9225175a92fd434e9ebc

Observation d4064e35-b1cb-458b-96f7-c867e2abe775 · inbound

WARP: Weight-Space Analysis for Recovering Training Data Portfolios cites this paper.

WARP: Weight-Space Analysis for Recovering Training Data Portfolios Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:58:46.768071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T17:54:31.856386Z digest=sha256:4e8761dc8708f71b601da33aeb193b8441e5e560c39645eeb5849ffcef62a375

Observation a7d168f5-0b4d-45ec-af45-536721d007aa · inbound

Domain-Aware Scaling Laws Uncover Data Synergy cites this paper.

Domain-Aware Scaling Laws Uncover Data Synergy Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T07:24:27.255815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:24:27.255815Z digest=sha256:42cabcac20393b0e08e7d558bae2ceb88b08564d1852da56aa9e3d080286e36f